{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DoWhy-The Causal Story Behind Hotel Booking Cancellations"
   ]
  },
  {
   "attachments": {
    "Screenshot%20from%202020-09-29%2019-08-50.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Screenshot%20from%202020-09-29%2019-08-50.png](attachment:Screenshot%20from%202020-09-29%2019-08-50.png)\n",
    "\n",
    "We consider what factors cause a hotel booking to be cancelled. This analysis is based on a hotel bookings dataset from [Antonio, Almeida and Nunes (2019)](https://www.sciencedirect.com/science/article/pii/S2352340918315191). On GitHub, the dataset is available at [rfordatascience/tidytuesday](https://github.com/rfordatascience/tidytuesday/blob/master/data/2020/2020-02-11/readme.md). \n",
    "\n",
    "There can be different reasons for why a booking is cancelled. A customer may have requested something that was not available (e.g., car parking), a customer may have found later that the hotel did not meet their requirements, or a customer may have simply cancelled their entire trip. Some of these like car parking are actionable by the hotel whereas others like trip cancellation are outside the hotel's control. In any case, we would like to better understand which of these factors cause booking cancellations. \n",
    "\n",
    "The gold standard of finding this out would be to use experiments such as *Randomized Controlled Trials* wherein each customer is randomly assigned to one of the two categories i.e. each customer is either assigned a car parking or not. However, such an experiment can be too costly and also unethical in some cases (for example, a hotel would start losing its reputation if people learn that its randomly assigning people to different level of service). \n",
    "\n",
    "Can we somehow answer our query using only observational data or data that has been collected in the past?\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reload_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Config dict to set the logging level\n",
    "import logging.config\n",
    "DEFAULT_LOGGING = {\n",
    "    'version': 1,\n",
    "    'disable_existing_loggers': False,\n",
    "    'loggers': {\n",
    "        '': {\n",
    "            'level': 'INFO',\n",
    "        },\n",
    "    }\n",
    "}\n",
    "\n",
    "logging.config.dictConfig(DEFAULT_LOGGING)\n",
    "# Disabling warnings output\n",
    "import warnings\n",
    "from sklearn.exceptions import DataConversionWarning, ConvergenceWarning\n",
    "warnings.filterwarnings(action='ignore', category=DataConversionWarning)\n",
    "warnings.filterwarnings(action='ignore', category=ConvergenceWarning)\n",
    "warnings.filterwarnings(action='ignore', category=UserWarning)\n",
    "\n",
    "#!pip install dowhy\n",
    "import dowhy\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>...</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>agent</th>\n",
       "      <th>company</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>304.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          hotel  is_canceled  lead_time  arrival_date_year arrival_date_month  \\\n",
       "0  Resort Hotel            0        342               2015               July   \n",
       "1  Resort Hotel            0        737               2015               July   \n",
       "2  Resort Hotel            0          7               2015               July   \n",
       "3  Resort Hotel            0         13               2015               July   \n",
       "4  Resort Hotel            0         14               2015               July   \n",
       "\n",
       "   arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "0                        27                          1   \n",
       "1                        27                          1   \n",
       "2                        27                          1   \n",
       "3                        27                          1   \n",
       "4                        27                          1   \n",
       "\n",
       "   stays_in_weekend_nights  stays_in_week_nights  adults  ...  deposit_type  \\\n",
       "0                        0                     0       2  ...    No Deposit   \n",
       "1                        0                     0       2  ...    No Deposit   \n",
       "2                        0                     1       1  ...    No Deposit   \n",
       "3                        0                     1       1  ...    No Deposit   \n",
       "4                        0                     2       2  ...    No Deposit   \n",
       "\n",
       "   agent company days_in_waiting_list customer_type   adr  \\\n",
       "0    NaN     NaN                    0     Transient   0.0   \n",
       "1    NaN     NaN                    0     Transient   0.0   \n",
       "2    NaN     NaN                    0     Transient  75.0   \n",
       "3  304.0     NaN                    0     Transient  75.0   \n",
       "4  240.0     NaN                    0     Transient  98.0   \n",
       "\n",
       "   required_car_parking_spaces  total_of_special_requests  reservation_status  \\\n",
       "0                            0                          0           Check-Out   \n",
       "1                            0                          0           Check-Out   \n",
       "2                            0                          0           Check-Out   \n",
       "3                            0                          0           Check-Out   \n",
       "4                            0                          1           Check-Out   \n",
       "\n",
       "  reservation_status_date  \n",
       "0              2015-07-01  \n",
       "1              2015-07-01  \n",
       "2              2015-07-02  \n",
       "3              2015-07-02  \n",
       "4              2015-07-03  \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset = pd.read_csv('https://raw.githubusercontent.com/Sid-darthvader/DoWhy-The-Causal-Story-Behind-Hotel-Booking-Cancellations/master/hotel_bookings.csv')\n",
    "dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['hotel', 'is_canceled', 'lead_time', 'arrival_date_year',\n",
       "       'arrival_date_month', 'arrival_date_week_number',\n",
       "       'arrival_date_day_of_month', 'stays_in_weekend_nights',\n",
       "       'stays_in_week_nights', 'adults', 'children', 'babies', 'meal',\n",
       "       'country', 'market_segment', 'distribution_channel',\n",
       "       'is_repeated_guest', 'previous_cancellations',\n",
       "       'previous_bookings_not_canceled', 'reserved_room_type',\n",
       "       'assigned_room_type', 'booking_changes', 'deposit_type', 'agent',\n",
       "       'company', 'days_in_waiting_list', 'customer_type', 'adr',\n",
       "       'required_car_parking_spaces', 'total_of_special_requests',\n",
       "       'reservation_status', 'reservation_status_date'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Description\n",
    "For a quick glance of the features and their descriptions the reader is referred here.\n",
    "https://github.com/rfordatascience/tidytuesday/blob/master/data/2020/2020-02-11/readme.md"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature Engineering\n",
    "\n",
    "Lets create some new and meaningful features so as to reduce the dimensionality of the dataset. \n",
    "- **Total Stay** =  stays_in_weekend_nights + stays_in_week_nights\n",
    "- **Guests** = adults + children + babies\n",
    "- **Different_room_assigned** = 1 if reserved_room_type & assigned_room_type are different, 0 otherwise."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['hotel', 'is_canceled', 'lead_time', 'arrival_date_year',\n",
       "       'arrival_date_month', 'arrival_date_week_number',\n",
       "       'arrival_date_day_of_month', 'meal', 'country', 'market_segment',\n",
       "       'distribution_channel', 'is_repeated_guest', 'previous_cancellations',\n",
       "       'previous_bookings_not_canceled', 'booking_changes', 'deposit_type',\n",
       "       'agent', 'company', 'days_in_waiting_list', 'customer_type', 'adr',\n",
       "       'required_car_parking_spaces', 'total_of_special_requests',\n",
       "       'reservation_status', 'reservation_status_date', 'total_stay', 'guests',\n",
       "       'different_room_assigned'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Total stay in nights\n",
    "dataset['total_stay'] = dataset['stays_in_week_nights']+dataset['stays_in_weekend_nights']\n",
    "# Total number of guests\n",
    "dataset['guests'] = dataset['adults']+dataset['children'] +dataset['babies']\n",
    "# Creating the different_room_assigned feature\n",
    "dataset['different_room_assigned']=0\n",
    "slice_indices =dataset['reserved_room_type']!=dataset['assigned_room_type']\n",
    "dataset.loc[slice_indices,'different_room_assigned']=1\n",
    "# Deleting older features\n",
    "dataset = dataset.drop(['stays_in_week_nights','stays_in_weekend_nights','adults','children','babies'\n",
    "                        ,'reserved_room_type','assigned_room_type'],axis=1)\n",
    "dataset.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We also remove other columns that either contain NULL values or have too many unique values (e.g., agent ID). We also impute missing values of the `country` column with the most frequent country. We remove `distribution_channel` since it has a high overlap with `market_segment`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset.isnull().sum() # Country,Agent,Company contain 488,16340,112593 missing entries \n",
    "dataset = dataset.drop(['agent','company'],axis=1)\n",
    "# Replacing missing countries with most freqently occuring countries\n",
    "dataset['country']= dataset['country'].fillna(dataset['country'].mode()[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = dataset.drop(['reservation_status','reservation_status_date','arrival_date_day_of_month'],axis=1)\n",
    "dataset = dataset.drop(['arrival_date_year'],axis=1)\n",
    "dataset = dataset.drop(['distribution_channel'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['hotel', 'is_canceled', 'lead_time', 'arrival_date_month',\n",
      "       'arrival_date_week_number', 'meal', 'country', 'market_segment',\n",
      "       'is_repeated_guest', 'previous_cancellations',\n",
      "       'previous_bookings_not_canceled', 'booking_changes', 'deposit_type',\n",
      "       'days_in_waiting_list', 'customer_type', 'adr',\n",
      "       'required_car_parking_spaces', 'total_of_special_requests',\n",
      "       'total_stay', 'guests', 'different_room_assigned'],\n",
      "      dtype='object')\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>total_stay</th>\n",
       "      <th>guests</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>73.80</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>117.00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>HB</td>\n",
       "      <td>ESP</td>\n",
       "      <td>Offline TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>196.54</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>99.30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>BB</td>\n",
       "      <td>DEU</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>90.95</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   meal country market_segment  is_repeated_guest  previous_cancellations  \\\n",
       "0    BB     PRT         Direct                  0                       0   \n",
       "1    BB     PRT         Direct                  0                       0   \n",
       "2    BB     GBR         Direct                  0                       0   \n",
       "3    BB     GBR      Corporate                  0                       0   \n",
       "4    BB     GBR      Online TA                  0                       0   \n",
       "..  ...     ...            ...                ...                     ...   \n",
       "95   BB     PRT      Online TA                  0                       0   \n",
       "96   BB     PRT      Online TA                  0                       0   \n",
       "97   HB     ESP  Offline TA/TO                  0                       0   \n",
       "98   BB     PRT      Online TA                  0                       0   \n",
       "99   BB     DEU         Direct                  0                       0   \n",
       "\n",
       "    previous_bookings_not_canceled  booking_changes deposit_type  \\\n",
       "0                                0                3   No Deposit   \n",
       "1                                0                4   No Deposit   \n",
       "2                                0                0   No Deposit   \n",
       "3                                0                0   No Deposit   \n",
       "4                                0                0   No Deposit   \n",
       "..                             ...              ...          ...   \n",
       "95                               0                0   No Deposit   \n",
       "96                               0                0   No Deposit   \n",
       "97                               0                0   No Deposit   \n",
       "98                               0                0   No Deposit   \n",
       "99                               0                0   No Deposit   \n",
       "\n",
       "    days_in_waiting_list customer_type     adr  required_car_parking_spaces  \\\n",
       "0                      0     Transient    0.00                            0   \n",
       "1                      0     Transient    0.00                            0   \n",
       "2                      0     Transient   75.00                            0   \n",
       "3                      0     Transient   75.00                            0   \n",
       "4                      0     Transient   98.00                            0   \n",
       "..                   ...           ...     ...                          ...   \n",
       "95                     0     Transient   73.80                            0   \n",
       "96                     0     Transient  117.00                            0   \n",
       "97                     0     Transient  196.54                            0   \n",
       "98                     0     Transient   99.30                            1   \n",
       "99                     0     Transient   90.95                            0   \n",
       "\n",
       "    total_of_special_requests  total_stay  guests  \n",
       "0                           0           0     2.0  \n",
       "1                           0           0     2.0  \n",
       "2                           0           1     1.0  \n",
       "3                           0           1     1.0  \n",
       "4                           1           2     2.0  \n",
       "..                        ...         ...     ...  \n",
       "95                          1           2     2.0  \n",
       "96                          1           7     2.0  \n",
       "97                          1           7     3.0  \n",
       "98                          2           7     3.0  \n",
       "99                          0           7     2.0  \n",
       "\n",
       "[100 rows x 15 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Replacing 1 by True and 0 by False for the experiment and outcome variables\n",
    "dataset['different_room_assigned']= dataset['different_room_assigned'].replace(1,True)\n",
    "dataset['different_room_assigned']= dataset['different_room_assigned'].replace(0,False)\n",
    "dataset['is_canceled']= dataset['is_canceled'].replace(1,True)\n",
    "dataset['is_canceled']= dataset['is_canceled'].replace(0,False)\n",
    "dataset.dropna(inplace=True)\n",
    "print(dataset.columns)\n",
    "dataset.iloc[:, 5:20].head(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>hotel</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>total_stay</th>\n",
       "      <th>guests</th>\n",
       "      <th>different_room_assigned</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>deposit_type</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">No Deposit</th>\n",
       "      <th>False</th>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "      <td>74947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "      <td>29690</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          hotel  lead_time  arrival_date_month  \\\n",
       "deposit_type is_canceled                                         \n",
       "No Deposit   False        74947      74947               74947   \n",
       "             True         29690      29690               29690   \n",
       "\n",
       "                          arrival_date_week_number   meal  country  \\\n",
       "deposit_type is_canceled                                             \n",
       "No Deposit   False                           74947  74947    74947   \n",
       "             True                            29690  29690    29690   \n",
       "\n",
       "                          market_segment  is_repeated_guest  \\\n",
       "deposit_type is_canceled                                      \n",
       "No Deposit   False                 74947              74947   \n",
       "             True                  29690              29690   \n",
       "\n",
       "                          previous_cancellations  \\\n",
       "deposit_type is_canceled                           \n",
       "No Deposit   False                         74947   \n",
       "             True                          29690   \n",
       "\n",
       "                          previous_bookings_not_canceled  booking_changes  \\\n",
       "deposit_type is_canceled                                                    \n",
       "No Deposit   False                                 74947            74947   \n",
       "             True                                  29690            29690   \n",
       "\n",
       "                          days_in_waiting_list  customer_type    adr  \\\n",
       "deposit_type is_canceled                                               \n",
       "No Deposit   False                       74947          74947  74947   \n",
       "             True                        29690          29690  29690   \n",
       "\n",
       "                          required_car_parking_spaces  \\\n",
       "deposit_type is_canceled                                \n",
       "No Deposit   False                              74947   \n",
       "             True                               29690   \n",
       "\n",
       "                          total_of_special_requests  total_stay  guests  \\\n",
       "deposit_type is_canceled                                                  \n",
       "No Deposit   False                            74947       74947   74947   \n",
       "             True                             29690       29690   29690   \n",
       "\n",
       "                          different_room_assigned  \n",
       "deposit_type is_canceled                           \n",
       "No Deposit   False                          74947  \n",
       "             True                           29690  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset = dataset[dataset.deposit_type==\"No Deposit\"]\n",
    "dataset.groupby(['deposit_type','is_canceled']).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_copy = dataset.copy(deep=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculating Expected Counts\n",
    "Since the number of number of cancellations and the number of times a different room was assigned is heavily imbalanced, we first choose 1000 observations at random to see that in how many cases do the variables; *'is_cancelled'* & *'different_room_assigned'* attain the same values. This whole process is then repeated 10000 times and the expected count turns out to be near 50% (i.e. the probability of these two variables attaining the same value at random).\n",
    "So statistically speaking, we have no definite conclusion at this stage. Thus assigning rooms different to what a customer had reserved during his booking earlier, may or may not lead to him/her cancelling that booking."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$\\displaystyle 588.563$"
      ],
      "text/plain": [
       "588.563"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counts_sum=0\n",
    "for i in range(1,10000):\n",
    "        counts_i = 0\n",
    "        rdf = dataset.sample(1000)\n",
    "        counts_i = rdf[rdf[\"is_canceled\"]== rdf[\"different_room_assigned\"]].shape[0]\n",
    "        counts_sum+= counts_i\n",
    "counts_sum/10000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now consider the scenario when there were no booking changes and recalculate the expected count."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$\\displaystyle 572.8887$"
      ],
      "text/plain": [
       "572.8887"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Expected Count when there are no booking changes \n",
    "counts_sum=0\n",
    "for i in range(1,10000):\n",
    "        counts_i = 0\n",
    "        rdf = dataset[dataset[\"booking_changes\"]==0].sample(1000)\n",
    "        counts_i = rdf[rdf[\"is_canceled\"]== rdf[\"different_room_assigned\"]].shape[0]\n",
    "        counts_sum+= counts_i\n",
    "counts_sum/10000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the 2nd case, we take the scenario when there were booking changes(>0) and recalculate the expected count."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/latex": [
       "$\\displaystyle 666.0577$"
      ],
      "text/plain": [
       "666.0577"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Expected Count when there are booking changes = 66.4%\n",
    "counts_sum=0\n",
    "for i in range(1,10000):\n",
    "        counts_i = 0\n",
    "        rdf = dataset[dataset[\"booking_changes\"]>0].sample(1000)\n",
    "        counts_i = rdf[rdf[\"is_canceled\"]== rdf[\"different_room_assigned\"]].shape[0]\n",
    "        counts_sum+= counts_i\n",
    "counts_sum/10000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is definitely some change happening when the number of booking changes are non-zero. So it gives us a hint that *Booking Changes* must be a confounding variable.\n",
    "\n",
    "But is *Booking Changes* the only confounding variable? What if there were some unobserved confounders, regarding which we have no information(feature) present in our dataset. Would we still be able to make the same claims as before?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font size=\"6\">Enter *DoWhy*</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step-1. Create a Causal Graph\n",
    "Represent your prior knowledge about the predictive modelling problem as a CI graph using assumptions. Don't worry, you need not specify the full graph at this stage. Even a partial graph would be enough and the rest can be figured out by *DoWhy* ;-)\n",
    "\n",
    "Here are a list of assumptions that have then been translated into a Causal Diagram:-\n",
    "\n",
    "- *Market Segment* has 2 levels, “TA” refers to the “Travel Agents” and “TO” means “Tour Operators” so it should affect the Lead Time (which is simply the number of days between booking and arrival).\n",
    "- *Country* would also play a role in deciding whether a person books early or not (hence more *Lead Time*) and what type of *Meal* a person would prefer.\n",
    "- *Lead Time* would definitely affected the number of *Days in Waitlist* (There are lesser chances of finding a reservation if you’re booking late). Additionally, higher *Lead Times* can also lead to *Cancellations*.\n",
    "- The number of *Days in Waitlist*, the *Total Stay* in nights and the number of *Guests* might affect whether the booking is cancelled or retained.\n",
    "- *Previous Booking Retentions* would affect whether a customer is a *Repeated Guest* or not. Additionally, both of these variables would affect whether the booking get *cancelled* or not (Ex- A customer who has retained his past 5 bookings in the past has a higher chance of retaining this one also. Similarly a person who has been cancelling this booking has a higher chance of repeating the same).\n",
    "- *Booking Changes* would affect whether the customer is assigned a *different room* or not which might also lead to *cancellation*.\n",
    "- Finally, the number of *Booking Changes* being the only confounder affecting *Treatment* and *Outcome* is highly unlikely and its possible that there might be some *Unobsevered Confounders*, regarding which we have no information being captured in our data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pygraphviz\n",
    "causal_graph = \"\"\"digraph {\n",
    "different_room_assigned[label=\"Different Room Assigned\"];\n",
    "is_canceled[label=\"Booking Cancelled\"];\n",
    "booking_changes[label=\"Booking Changes\"];\n",
    "previous_bookings_not_canceled[label=\"Previous Booking Retentions\"];\n",
    "days_in_waiting_list[label=\"Days in Waitlist\"];\n",
    "lead_time[label=\"Lead Time\"];\n",
    "market_segment[label=\"Market Segment\"];\n",
    "country[label=\"Country\"];\n",
    "U[label=\"Unobserved Confounders\"];\n",
    "is_repeated_guest;\n",
    "total_stay;\n",
    "guests;\n",
    "meal;\n",
    "hotel;\n",
    "U->different_room_assigned; U->is_canceled;U->required_car_parking_spaces;\n",
    "market_segment -> lead_time;\n",
    "lead_time->is_canceled; country -> lead_time;\n",
    "different_room_assigned -> is_canceled;\n",
    "country->meal;\n",
    "lead_time -> days_in_waiting_list;\n",
    "days_in_waiting_list ->is_canceled;\n",
    "previous_bookings_not_canceled -> is_canceled;\n",
    "previous_bookings_not_canceled -> is_repeated_guest;\n",
    "is_repeated_guest -> is_canceled;\n",
    "total_stay -> is_canceled;\n",
    "guests -> is_canceled;\n",
    "booking_changes -> different_room_assigned; booking_changes -> is_canceled; \n",
    "hotel -> is_canceled;\n",
    "required_car_parking_spaces -> is_canceled;\n",
    "total_of_special_requests -> is_canceled;\n",
    "country->{hotel, required_car_parking_spaces,total_of_special_requests,is_canceled};\n",
    "market_segment->{hotel, required_car_parking_spaces,total_of_special_requests,is_canceled};\n",
    "}\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here the *Treatment* is assigning the same type of room reserved by the customer during Booking. *Outcome* would be whether the booking was cancelled or not.\n",
    "*Common Causes* represent the variables that according to us have a causal affect on both *Outcome* and *Treatment*.\n",
    "As per our causal assumptions, the 2 variables satisfying this criteria are *Booking Changes* and the *Unobserved Confounders*.\n",
    "So if we are not specifying the graph explicitly (Not Recommended!), one can also provide these as parameters in the function mentioned below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rr7yCwMBAWFhYQCaTITY2FgcPHsTs2bOv2/77wo12TemNO++8Ex9//DFefvll7Nu3z9DlEBEREQ1YDJ0QERERERER0YBTWFiIyMhInDp1CkePHsVbb70FJycnQ5clMjY2xjPPPAMAlxwuRy6XY8eOHVi7dm1/lnbDyM3NBQAEBAT0+P7ixYv7sxy6RnPmzMGJEyewZMkSLF68+LJdfoiul+zsbGzcuBEvvfQSIiMjr9t+8vPzsWXLFoSHh2PZsmU9LmNiYoJ169ZdtxoIeOCBB3D//ffjwQcfRE1NjaHLISIiIhqQGDohIiIiIiIiogGltLQU0dHRcHR0xG+//YaoqChDl9SjpUuXwtPTEz///DNycnK6vf/OO+/g1ltvhZ+fnwGqMzyZTAYAOHz4cI/vR0dHo66urj9LomtkbW2NHTt2YMeOHXjxxRexYcMGQ5dEg9AjjzyCCRMmYNWqVdd1Px988AG0Wi0WLVr0l8tFRkZCEASYmppe13oGs7fffhsWFhYM+BARERFdJwydEBEREREREdGA0dHRgfnz58PFxQWHDx+Gq6uroUu6JAsLC6xevRqCIOCll17Se0+lUuHdd9/Fc889d8n1NRoNvv32W8TGxsLNzQ1WVlYICQnB22+/Da1WKy73008/wcjISJwKCgqwePFiODk5ifMuFd748ssv9dY1MjJCVVUVAKC2thZPPPEEfHx8YG5uDhcXFyxcuBAnT54U13/ttddgZGSE5uZmpKSkiNu4kpurkydPhpubG+Lj4zF79mz8+uuvesd1KVdSl05+fj4WLFgAqVQKa2trjB8/Hnv37kVMTIxY6z/+8Y9u57C0tBRLliyBra0tnJyccN9996GxsRElJSWYN28ebG1t4e7ujmXLlqGpqemqarx4nyUlJViyZAns7e3h5OSEuXPnoqioqE/OdX9bvnw53nvvPWzatAk//PCDocuhQSQpKQlpaWl45ZVXYGx8ff9p/NixYwCA0NDQXq9bX1+Pp556Cn5+fjA3N4eDgwNmz56NX375RVxm8+bN4u951+FvDh48KM53dnYW5/f1NeVKPlsunnSdvTQajd78O+64o9fnqDekUinWrVuHzz77jN1OiIiIiK4HgYiIiIiIiIhogHj99dcFa2troaioyNClXFJWVpZgY2MjCIIgtLS0CDKZTDA2Nhby8vLEZbZs2SIsXrxYEARBSEpKEgAI99xzj9529uzZIwAQ/vWvfwkNDQ1CbW2t8M477wjGxsbC008/3W2/8+fPFwAI0dHRwi+//CI0NzcL6enpgomJiVBbWysIgiCEhYUJnp6e4joajUZ46qmnhNjYWKGhoUGcX1FRIXh7ewsymUzYt2+f0NTUJJw6dUqIjo4WLC0thdTUVL1929jYCFFRUb0+V0lJScKQIUMEAAIAwdXVVbjnnnuEr7/+Wmhubu62fG/qOnv2rGBvby94enoKhw4dEpeNiYkRXFxcBAsLi0uew4ULFwrHjx8XVCqV8MUXXwgAhNmzZwvz588XsrKyhKamJuG9994TAAj/8z//c9U1dt3n/PnzhdTUVEGlUgmHDx8WrKyshHHjxnWr8WrPtSH84x//ENzd3YWWlhZDl0KDxMqVK4XQ0NB+2Ze7u7sAQPjtt996tV5lZaVwyy23CDKZTNizZ4+gUCiEgoICYeHChYKRkZHw4Ycf6i1/qd/58PBwwcnJqdv8vr6mXO6zJS4uTjA2NhYKCwu7rRsZGSl89dVXV3Jarllzc7NgY2Mj7Nixo1/2R0RERDSI7GOnEyIiIiIiIiIaEARBwPbt27FixQr4+voaupwrYmVlhaeeegparRb/+te/AAAtLS1488038c9//vOy60+dOhXPPvssHBwc4OzsjMcffxx333033n77bSiVyh7XWbt2LaZOnQpra2tMmDABGo1G79vwOnK5HHPmzEFnZycOHDgABwcH8b1nn30WpaWleOONN3DrrbdCIpEgODgYO3fuhCAIePzxx6/yjOibNGkSzp49i88//xzz58+HWq3GV199hbvvvhtDhw7Fzp079ZbvTV3PPfcc5HI53n77bcTGxorLfv3112hubv7Luh566CGEh4fDxsYG9913H4KDg3HgwAE89dRTGDVqFCQSCZYvX45bbrkF+/fvv+oau/rHP/6ByMhI2NjYICYmBnPmzEFGRsZNPcTQSy+9hLq6Ovz444+GLoUGiZSUFMTFxfXrPo2MjHq1/LPPPotz587hrbfewty5c2FnZ4fhw4fj66+/hru7O5544glUV1dfc119fU251GeL7jPujTfe0Fs+JSUF58+fv+zwQ33F2toakydPRnJycr/sj4iIiGgwYeiEiIiIiIiIiAaEqqoqFBUV4bbbbjN0Kb2ycuVKODk54ZtvvkFhYSHef/99REREXHZIhrlz5+oNtaATFhaGjo4O5Obm9rje+PHjL1tTQUEBJkyYAGNjY7z11lswMTHRe/+nn36CsbEx5s6dqzffzc0NwcHByMzMxIULFy67nythYWGB+++/Hz/99BMaGhqQmJiIO++8E/X19bj33nuRlZV1VXUdPHgQALrdgHZxcUFgYOBf1jR27Fi91x4eHj3O9/T0REVFhd68qz1348aN03s9ZMgQAOi2/ZuJq6srJk6cyJvA1G+Kioou+/vdV3TXhd6GOHQhrDlz5ujNt7CwwIwZM6BWqxEfH3/N9fX1NeVSny0zZ85ESEgIPvvsM9TX14vzX331VTz++OMwMzO7qv1djREjRugNIUREREREfYOhEyIiIiIiIiIaEBobGwEATk5OBq6kdyQSCVatWoXOzk5s2LABr732Gp5//vnLrqdQKLB+/XqEhITAwcEBRkZGMDIywurVqwH82TGlJzY2Nn+53cbGRixYsABeXl44cOAAvvzyS73329raoFAooNVqIZVKxf3qphMnTgAAzp49eyWH3yumpqaYPn06vvnmG6xduxadnZ3YtWtXr+tqa2tDU1MTLC0tIZFIuu2na1eXntjZ2em9NjY2homJCaytrfXmm5iYQKvViq+v5dxJpVK91+bm5gCgt/2bkZOTExoaGgxdBg0SarW62+/p9RIdHQ0AyMnJueJ1dNcIS0tL2NradntfJpMB+DNkea36+pryV58tq1atQktLC7Zv3w4AOHPmDI4cOYKHH374qvZ1taytrS/52UhEREREV4+hEyIiIiIiIiIaELy8vGBsbIyCggJDl9Jrjz/+OKRSKb7++muEhYV165jRk3nz5mHTpk1YtmwZzpw5A61WC0EQ8OabbwL4c7ihq2FqaoqEhATs3r0bISEhWLZsGTIyMsT3LSwsYG9vD1NTU3R0dEAQhB6nadOmiev0dngJ4M+hF3Q3WHui274ubNSbuiwsLGBra4vW1laoVKpu266pqel1vVfias5db13NuTak06dPw8fHx9Bl0CDh4ODQb0NSLV++HKampmIw7lLWrFkDY2Nj5Ofnw8LCAlKpFK2trWhqauq2rG5YHTc3N3GesbEx2tvbuy0rl8uv8Qj+1BfXlHvuuQcymQxbt25FW1sbXn/9dTzwwAOXDfj1tdraWnR2duL7779HfHw8fv31V2RmZiI/Px/nzp1DY2Mj1Gp1v9ZERERENBAwdEJEREREREREA4KdnR2mT5+Ojz/+2NCl9JpUKsVTTz0FqVR6RV1OOjs7kZKSAjc3NzzxxBNwcXERbwxe6w0zW1tbeHp6QiKR4Oeff4ZEIsGCBQtQWVkpLrNw4UJoNBqkpKR0W//f//43hg4dCo1GI86ztrbWuykaEBCADz744C/rEAQBNTU1SE9P7/H948ePAwBGjx59VXXNnj0bwP8Ns6NTVVWFM2fO/GVt16K35663ruZcG0pqaipOnz6N+fPnG7oUGiRGjhyJzMzMftnX8OHDsWHDBhw/fhyffPJJj8sUFBTg/fffx+LFi8Vhf/72t78BAPbt26e3bFtbGxITE2FlZaU3LJi7uzvKy8v1lq2qqsL58+f75Dj64ppiYWGBlStXoqamBq+//jq++uorPPnkk31SX29kZmaiqKgIixcvxqxZszBt2jSMHTsWI0aMgK+vLxwdHWFtbQ0jIyPY29tDJpPBz88PYWFhGDduHGJjYzFv3jwsXrwYy5Ytw2OPPYZnnnkGL730ErZu3YovvvgCu3fvxq+//oqsrCwUFxejsbHxpu9IRURERHQ5poYugIiIiIiIiIjocnRDkjQ3N6O9vR1tbW1oaWmBRqMRvw3e2NiIqKgovPjii/juu++wePFiA1fdO+vXr8f69euvaFkTExNMnToVR44cwauvvoqlS5fCxsYG6enpeO+99/qsJh8fH+zatQuxsbFYuHAhfv31V1hYWODll1/G0aNH8eCDD2Lr1q2YOHGi+O3xF198EZ9++ilMTf/vn53GjBmDtLQ0lJWV4cKFCyguLsbkyZOvqIbFixdjy5YtmDp1KpycnFBZWYldu3bhxRdfRHh4OO6//35x2d7U9a9//QsJCQlYtWoVpFIpIiMjUVJSgtWrV8PNza1Phq/oSW/PXW9dy7nuT2q1GitXrsSMGTMQGRlp6HJokIiLi8Mbb7yBjo4OmJmZXff9Pf/882hubsaKFStw5swZPPjgg/Dx8UFtbS0OHjyIdevWITQ0VC8sqbtGrFq1ChKJBNHR0aisrMSzzz6LyspKvP/++3pdoGbOnImtW7di69at+Pvf/47q6mo899xzcHV1RWtr6zUfQ19dU1auXIktW7bg+eefx2233QZ/f/9rrq03SkpKcOLECezZswdz5syBXC5HW1sbmpuboVKpxKGN1Go1WltboVAo0NbWBpVKBZVKhfb2dsjlcrS2tkKtVuP8+fNob29HU1MTmpqaoFQqxfV7IpFIIJVKe5zs7e27zbOzs4NUKoWzszOcnZ1haWnZr+eLiIiIqDeMhKvttUpEREREREREg0J7ezuam5vFoIfuhovudWdnJ5RKJYA/2/kLgoCmpiZoNBrx5o1uG1qtFgqFAsD/BUlUKhU6OjrE7XZ0dEClUkEQhKsaHsDe3h7t7e04dOgQoqKi+vRcXCuJRILm5mbxdVxcXLdOG131NKzBu+++i8ceewx1dXV4/vnnsX//flRVVcHR0RGzZ8+Gm5sbtmzZAgAIDw/H1q1be7yp3/WfhHbu3Im77rpL7/0333wTERER3da955578OWXX6KhoQEvvfQSfvrpJ5SVlcHe3h6jR4/G6tWrERMTo7dOQUEBli1bhhMnTsDR0RHPPPMMVq5c+RdnCtBqtUhLS8NPP/2EpKQklJWVoaamBlZWVggICMDChQvx5JNPwtraWm+93tR15swZrF27FkeOHIFGo8GoUaPw8ssvY8OGDfj999/F/1bp6endzsM///lPLFiwAOPGjdOb//LLL2PSpEndbspu2LABL7zwwhXXeKl9bt68udvPxZw5c7B3796rPtf9raOjA4sXL0ZSUhJ+++03+Pn5GbokGiTKysrg7++P7du346GHHuq3/WZkZODdd9/Fr7/+iqqqKlhaWiI4OBh33XUXVqxYAXNzc73l6+vrsXnzZuzevRsXLlyAtbU1IiIisGbNGkyfPl1vWYVCgaeffhr79u2DXC5HeHg43nzzTaxYsULs6rJ27VosWLCgT68pPV2jgL8e2u3hhx/Ghx9+iKNHj2LKlClXfgL7wKpVq/Df//4XRUVF3c53X1Or1WhsbOxx0v2tc6n3dctczNLSEg4ODuLk4eEBd3d3vXld57u4uPRLsIqIiIgIwH6GToiIiIiIiIhuMrogx7U8dr3x8VePus4ivWFpaQkrK6tLPl7JMr1ZtusyUqkUgiBg0aJFiI+Px1dffYUFCxb07X8AGvACAwOhVqtRWlpq6FIGHLlcjsWLFyM9PR0HDhy44YJhNPA9+uij2LVrF/744w+4uroaupxB5dNPP8W2bdvE4dH6S2ZmJiIjI/HOO+9gxYoV/brvq6HrtKJQKFBXV4f6+nrU1dWhrq4ONTU1Pc7TBWPVY+IAACAASURBVHp1jIyM4OTkJHZK0T13dXXVm+fu7g53d3e4urrCxMTEQEdMRERENzmGToiIiIiIiIiula7Thy6s0dTUhI6ODsjlcrHDhy68IZfL0dHRgaamJjHY0XV53bZ0w8boun7otnOlrK2tYWFhAYlEAjMzM9ja2sLU1BR2dnYwMTGBVCqFsbEx7O3tYWRkBAcHBxgZGcHe3h7GxsaQSqUwMTGBnZ0dTE1NYWtrCzMzM0gkEpibm8PGxkacr1vvRtLZ2YnHHnsM77//Ph5//HFs2bJFDKgQAUBVVRWCgoJQXV2t923wkpISDBs2DPfeey8+/fRTA1Y48CQlJeG+++6DRqPB3r17MWrUKEOXRINQc3MzRo0ahaCgIOzevdvQ5QwqEyZMwJNPPom777673/bZ1taGsWPHQiaT4fDhwz12EBsIOjo69MIotbW1qK2tvWRopa6uTq+jirGxMVxdXSGTyeDp6QlXV1d4enpCJpPBw8MDbm5ucHNzg6enJ4f6ISIioosxdEJEREREREQDm1KpREdHBxQKhTgcjG44l8bGRjHU0dLSgra2NigUCnR0dOiFSC63vFarvWwdus4cdnZ2MDMzg1QqhYWFBaytrWFjYwNzc3Mx8NGb4IduG7pOH7r90J++//57LF++HDY2Nli3bh0eeughfpOXAPwZOnF3d8fSpUuxceNGODk54dSpU3j88cdRWFiIjIwM+Pr6GrrMAeHChQvYtGkTPvroI8TGxuKzzz6Dm5ubocuiQezYsWOYPn06nnvuObz44ouGLmfA+uijj7Bv3z785z//wZdffok33ngDeXl5MDU17Zf9azQa3HnnnUhMTEROTg6GDBnSL/u9WTQ3N6O8vBzV1dWorKxEZWUlqqqqUFlZierqapSXl6OmpgbV1dV667m4uMDT0xNDhgyBl5dXt+dDhw5l0JeIiGhwYeiEiIiIiIiIDK+5uVlsJX7xc7VaDaVSecnnKpUKra2t3Z7ruohcji7UoQtt6IId9vb2YrBD1zVEKpXCzMzssst3DZHouoyQ4dTV1WHTpk3Yvn07wsLC8Oqrr2LatGmGLotuAImJidi2bRuysrJQUVEBBwcHxMTEYOPGjfDz8zN0eTc9lUqF1157Da+88gq8vLzw0ksv4Y477hiwnQbo5vL555/jwQcfxAsvvIB169YZupwB6aOPPsKyZctgamqKoKAgfPrppxgzZky/7LuzsxP3338/fvrpJ+zfvx/R0dH9st+BqKOjAzU1NaioqEBFRQXOnz+P8vJylJeXo7S0FBUVFbhw4QLa2trEdRwdHeHp6Qlvb2/4+PjoPXp7e3NoKyIiooGFoRMiIiIiIiK6MoIgQC6XQ61WQ61Wd3ve0tKC1tZW8blarYZCobii539FN3SLtbU1rKysIJVKr+i5rgOIbngZBwcHsUtI1xCJsbFxP51BMrRTp05h9erVOHjwIKZMmYJHH30Uf/vb3/SGViGia1dYWIj33nsPn3zyCUxMTLB+/XqsWLGCv2t0w/nwww+xfPlyPPnkk3jllVf4MzpAKBQK3HvvvUhMTMT+/fsxdepUQ5c0KFRXV4sBFF0w5fz58ygpKUFJSQkqKyvF7oDW1tbw8fHpFki55ZZb4OfnBycnJwMfDREREfUCQydEREREREQDlVqtRnNzM5RKpdg1RKVSoampCQqFAiqVSpzkcjlUKpW4TGNjY7dwyeW6huiGeNEFRPrquYWFRT+dMRosfv31V7z11lvYu3cvZDIZHn74YTz88MNwd3c3dGlENy2tVov9+/dj+/btiI+Px5AhQ7B8+XI88sgjsLe3N3R5RJf0zTffYNmyZQgNDcWuXbvg4eFh6JLoGmRnZ+OOO+5AY2Mj6uvr4eDggKCgIAQHB8PX11d8fsstt7DrUj/r6OhAbW0tKisrUVxc3G06f/48NBoNAMDBwQG+vr49TvxvR0REdMNh6ISIiIiIiOhG0dHRcckASNfXuvd1k0KhQFNTk7iMQqGAUqlEZ2fnJfdlb28PiUQCGxsbSCQSODg4iM8lEslVBUSIbjalpaV4//338dFHH0EulyMuLg6LFi3Cbbfdxp9poisgCAIyMjKwa9cufPfddzh//jxiYmLw6KOPYu7cuTAxMTF0iUQ90mg0KCgoQEpKCpKTk5GamoqSkhI4OzvjzTffxF133WXoEqmXOjo68NZbb2HDhg2YMGEC3n//fRQXFyM3Nxf5+fnIzc3F6dOnIZfLAfw5/EtQUBBGjBiBESNGIDg4GIGBgRg6dKiBj2Tw0mg0KCsrQ2FhoTgVFRWJj7oAvEQigb+/P/z8/ODv74/AwECMGDECAQEB/PuNiIjIMBg6ISIiIiIiuhZtbW1iyEOhUKCxsbHHAIju9V91Hek6DvrFdGEQGxsb2Nvbw9bWVnwtlUphZ2cnhkbs7OwglUrF17a2tpBKpeI2JBJJP54hohtfW1sbdu3ahZ07d+Lw4cMAgNjYWAZQiHqgC5p8//332LVrF0pKSuDn54dFixZh6dKlGD58uKFLJOqmrKwM6enp4nTixAm0trbC0dEREyZMwIQJExAaGooDBw7g448/xowZM7Bt2zYMGzbM0KXTFUhJScEjjzyCs2fP4rnnnsOzzz4LU1PTHpdtbGxEbm4u8vLyxEddpw0AsLCwgJ+fH4KDg8WuKEFBQQgMDGSQzoAEQcCFCxf0gii6qaCgQAykuLu7iwGUESNGIDAwEAEBAQwTERERXV8MnRARERER0eClGzJGrVajsbGxx+lK3r8US0tLODg4wMHBAVZWVr163XWei4sLzMzM+vHMEA1eCoUCu3fvxq5du3Do0CEIgoDJkycjJiYGsbGxGD16NIyNjQ1dJlG/qqurQ2JiIg4fPoxDhw6hrKxMDJosWrQIY8aMMXSJRKKOjg7k5OQgOTkZmZmZSE5Oxrlz52BiYoKAgACEh4dj0qRJiIqKwogRI/Su6SqVCh999BG2bNmCuro6PPbYY1i7di2HX7tBnT59Gps2bcLOnTsxc+ZMbNu2DX5+fle1LblcjqKiom6BlJKSEmi1Wpibm8Pf37/bMD3BwcGwtLTs4yOj3tBqtSgpKUFBQQHy8vJQUFCA/Px8nD59GnV1dQD+DPAHBgYiMDAQI0eORGhoKEJCQuDl5WXg6omIiAYEhk6IiIiIiOjm1LW7yMWPjY2Nl3xPoVBALpdDoVBccvgZe3t7sVvIxY/29vaQSqU9vmdnZwcHBwfY2dnxm5BEA4BCocDevXtx8OBBJCQkoKqqCs7OzpgxY4YYQvH29jZ0mUR9rrW1FSkpKTh8+DASEhKQlZUFY2NjjB8/HrGxsbjtttsYNKEbRkVFhThMTmZmJo4fP462tja4ublh7NixCA8PR3h4OCZPntytc1VdXR1SUlJw7NgxJCUlISsrCxqNBv7+/pDJZCgpKUFDQwMefvhhhk9uIHl5edi8eTO+/fZbBAUFYePGjVi4cOF12VdTU5Pe8DynT59GXl4ezp07B61WCzMzMwwbNkzshjJy5EgEBwcjICCAofEbQH19PU6fPo38/Hzk5+cjLy8Pp06dQllZGQDAwcFBDKCEhIQgNDQUI0eOZGdIIiKi3mHohIiIiIiI+l9HR0ePXUMuDoVcKljS2NjY43aNjY0hlUrF4EdPwZCuwZGeluEwGkR0KcXFxUhISEBCQgLi4+OhVCrh7u6u9635sWPH8hvPdNOprKzE8ePH9W7ct7a2wtfXFzExMeLk4OBg6FJpkNNqtTh16hSOHj2KY8eO4dixY6ipqYG5uTlGjx6NiIgITJgwAZGRkfDx8em2fmVlJZKTk5GcnIyUlBRkZWVBq9WKP+tRUVGIjo4WA4Xt7e347LPPsGnTJtTU1GD+/Pl4+OGHMWPGDBgZGfXz0Q9uWq0WR44cwQcffIAffvgBAQEBWLt2Le655x6DhL1bW1vFIIMukJKXl4fCwkJ0dHTAzMwMw4cPR3BwMEJCQhAUFISQkBD4+voynH4DaGxsxB9//IE//vgDOTk5yMnJQW5uLpqammBkZIRbbrlFDKOMGTMG4eHhGDJkiKHLJiIiulExdEJERERERFfnUsGRK5lUKlW37ZmZmYkdRuzt7cXnl+om0lNohN9II6L+0traivT0dKSkpCA9PR3p6emoq6uDpaUlxowZg4iICERERGDUqFHw8/PjkDx0w1AoFMjOzsaJEyeQlpaGtLQ0lJWVwcTEBCEhIZg4cSIiIiIwZcoUdvIhg+vs7ERWVhaOHTuGo0ePIjk5GQ0NDXBwcMCkSZMQHR2NiRMnYsyYMbCwsOi2fnFxsRgwSU5ORl5eHkxNTREWFoaoqChMmjQJ06dPh5OT01/W0draiq+//ho7duzA8ePHERoaiuXLl2PJkiWXXZeuTWlpKb788kt88MEHuHDhAmJjY/HII49g3rx5N+Rna0dHB8rKypCbm4vMzExxqJ6CggJ0dnaKnVGCg4PFIXqCgoK6DfVE/U8QBJw7dw45OTliICU7OxuFhYXQarVwdXUVOyfpJgZRiIiIADB0QkREREREarX6qoIj1dXV0Gq13bZnaWkJBweHXk9ubm78h1YiuqmdOXMG6enp4o38U6dOobOzEzY2NmLL9lGjRiE0NBShoaGwtbU1dMk0gAmCgOLiYpw8eRLZ2dnIyclBRkYGKioqAAB2dnYYP348pk6diokTJ2LcuHEMb5LBaTQaZGdni0GRhIQENDY2wsXFBRMmTMCkSZMQExOD0aNH9/h3o64jVXJyMo4ePYrz58/D2toao0ePFjtSTZkyBVKp9KprzMjIwI4dO7Bz505oNBrMmDEDS5YswYIFC9gxr4+Ul5fj+++/x3fffYf09HQ4Ojpi6dKlWL58Ofz9/Q1d3lVpb2/H2bNnxRCKLpBy7tw5CIIAOzs7cZieroEUX19fQ5c+6CmVSmRlZSEzM1Oczp4922MQZezYsfDy8jJ0yURERP2NoRMiIiIiopudRqNBQ0NDn3YcuZrQiIODA29WERF1oVarkZubi5MnTyInJ0e88S+Xy2FkZARfX1+MGDECAQEBGD58OIYPH46AgAC4u7sbunS6ibS2tuLMmTN6U35+PvLy8tDU1AQTExP4+/sjLCwMzs7OOHXqFC5cuCDe6JTJZAgPDxeHD+A3t6k/6UImuqDIsWPHoFQqIZPJMGXKFLEbyZgxY7oNZ3NxQCUxMRENDQ2QSCSIiIgQ1508eXKPXVCulUqlws8//4zvvvsOBw8eBABMmzYNs2bNwqxZsxAQENDn+xyotFotMjMzER8fjwMHDiA9PR22traYP38+lixZgpiYGJibmxu6zOtCqVTi7NmzyM3N1QukVFZWAgDs7e3h5+eHoKAghIeHi8P1yGQyA1c+uDU1NSE7O1sviJKfnw+tVttt6MVx48Zdl2sQERHRDYShEyIiIiKiG42u80hlZSUqKiq6BUUunl9TU4POzs5u22HHESKiG1NJSYnYuj0vL08MCiiVSgB/dqDQhVACAwNxyy23wMfHB97e3vDw8ICJiYmBj4D6m1KpRGlpKUpKSlBaWoozZ86goKAAZ86cwfnz56HVamFiYgJvb28xvBQcHIywsDCMHDkS1tbW3bb5VzfM7O3tERwcrPft7aCgoG43/Yl6q6WlBSdOnBC7mCQnJ6O1tRXu7u5iF5OoqKgef966rntxQGXcuHGX7YJyPSkUCuzevRt79+4Vu7P4+PggLi4O06dPR1RUFDw9Pfu1phtdQUEBUlNTkZCQgMOHD6O2thYeHh6YNWsW5s+fj7i4uEF9o76xsVEviJKXl4fs7GzU1tYCABwcHPS6ooSHhyMsLIxd1AxIqVQiMzMTqampYte7hoYGWFlZYezYsZg4cSImTpyIyMhIuLi4GLpcIiKivsTQCRERERHR9SIIAurr61FXV4f6+nrxeV1dHWpra3t8r76+vtt27Ozs4OzsDBcXFzg5OcHJyQnOzs7io24+O44QEd3cKisrxSCBLlRQUFCA0tJStLe3A/izG5WXlxe8vb3h7e0thlG8vb3h7u4OT09P2NnZGfhIqDc6OjpQU1ODiooKlJWVobS0VC9gUlpaisbGRnF5FxcX+Pn5ITAwUAyYDB8+HMOGDbvmG7QqlQonT57UC6IUFBSgs7MTUqkUI0eOZBCFeqW9vR1paWlITExEQkICMjIyoNFoMGzYMEyZMgVTpkxBdHQ0vL29u63b1NSE3377TexkkpSUhLa2NjGg8lddUAyps7MTv/32G+Lj4xEfH4/MzExoNBoMHTpUvOk8YcIEhISEwMrKytDl9gu5XI7s7GykpaWJN+Tr6upgaWmJiRMnYtasWYiLi0NoaKihS73hlZWVITc3Vwyunjp1Cnl5eWhpaYGRkRF8fHwQEhKCkJAQhIWFITQ0FP7+/gysGoAgCMjPz0d6ejpSUlKQlpaG06dPQxAEDBs2DJGRkYiOjsbUqVM5jBIREd3sGDohIiIiIrpSug4kV9qFpLa2FhqNRm8bPXUf8fDwgLu7e4/zPT09B/U3/IiI6M9hB6qqqnDu3DkxhNB1KikpgVqtFpe3traGh4cH3Nzc4O7uLk4eHh6QyWRwc3ODo6MjnJyceuyAQddOFzzVTVVVVSgvL0dNTQ0uXLggPlZXV6Ompga6f54zMjKCm5ubXpioa8DIx8en3/+btbe34+zZs3pBlIyMDLS3t8POzg4hISF6QZQRI0awY9ogJggCcnJykJCQgISEBCQlJaG5uRm+vr6YMWMGpk+fjilTpsDDw6PbutXV1fj999/FLihZWVnQarXw9fUVAyYzZ86Ej49P/x/YNWhubhaPKy0tDUlJSXpDX4WGhorTiBEj4O3tfdMOJaNWq1FUVIS8vDzk5OQgJycHmZmZqKioAAB4enoiMjJS7PYwZsyYm/ZYbyRarRbnzp0Tgyi64fzOnj2Lzs5OWFtbi92vQkJCEBoairCwMDg4OBi69EGnsbER6enpSEtLE68JarUa3t7emDZtmjhxmDsiIrrJMHRCRERERIOTWq1GXV0dqqqqUFNTI3YZ0XUh6akDycVD2NjY2Oh1G9F1H+naicTV1VVvHgMkRER0PVRXV6O6uloMNJSXl6O6ulp8rKioQGVlJVpbW/XWs7KyEgMoTk5OcHR0hIuLizjPzs4OUqkUdnZ2kEgksLW1hUQiEbtqmZmZGeiIrz+lUgmVSgWVSoWmpibI5XI0NTVBpVJBqVSioaFB/Fuhp+cXc3V1hUwmg6enJ2QymRgM6hoQ8vLyuin+Vujo6MCZM2f0gijHjx9HW1sbbG1tERoayiDKIFJZWYnk5GQkJCRg3759KC8vh7OzM6ZNmyYOlxMcHNxtvYqKCr1hdk6fPg1jY2MEBASIQ+VMmzYNzs7OBjiqvtfW1oaNGzfi1VdfxdixY7FixQoUFRWJ4Yxz584BAExMTDBkyBD4+fnBz88Pvr6+8PLy0rtW2NvbG+QYampq9D5jSktLUVRUhOLiYhQVFYnhElNTUwwbNgyhoaEoLy9HamoqVq5ciTfeeGNAf27caLpeq3XD9GRkZKC6uhoA4O7urjc8T3BwMEaOHHlTfA4NFBqNBtnZ2WJQTzfkWNew3axZszB06FBDl0pERPRXGDohIiIiooFDrVbrdRq5uBtJ19dVVVXo+qdwTx1I/qoLiaenp8H+sZeIiOhqyeVyVFdXi8GInsISurBlQ0MDlEolFArFJbdnYWEBiUQiBlNMTEzERxsbG5ibm8PS0hJWVlYwMzODRCIRl9ExNTWFra1tj9u/VLClqampWzcx4M8bbCqVSnzd3t6O5uZmdHZ2QqlUQhAEyOVyAIBCoYBWq4VKpUJHRweam5vFUMnljtnW1lYvqNP1UTd1dHTgiy++QEJCAnx8fLBmzRo88MADA/ZmXk9BlMzMTLS2tjKIMsCo1WoxLJKQkIDMzExYWVkhKioKMTExiImJwejRo7v99y0uLhZvqiYlJaGkpASmpqYICwsTwymTJ08ekH9jZ2dn4+9//zvOnDmD9evXY/Xq1d3Oj1KpxNmzZ1FUVKQ3FRcXo7KyEh0dHeKylpaWcHd3h5OTE+zt7cVrsG6ysbHpdq3tej1tbW3V65ClG8JLqVR2m+RyuRg20Q31pqvBy8tLDMboQjJ+fn4YNmwYLC0txWW/+OILPProowgMDMSXX36JgICAvj3B1CuNjY3Izc0Vr9O6QEprayvMzMwwbNgwMYQSFBSEcePGwc3NzdBlDwpqtRqpqan45Zdf8Msvv+D333+HRqPBiBEjEBsbi9mzZ2Pq1Kl6v19EREQ3AIZOiIiIiOjG1dbWhtraWrEdfW1tLSorK8VOJLouJbW1taitrdXrRGJiYiJ2IHF1dYWbmxtcXFzg4uICd3d38blMJoOrqytsbGwMeKREREQ3NqVSKQYyLu760dTUhFOnTuHQoUOYP38+mpubIQiCGAxpaWlBW1sb2tra0NLS0i0YcvHNz650N0IvZmVldckbLl2HC9AFWoyMjMQb2VKpFMbGxrC1tYWpqSmsra1hYWEBa2trSCQSsZOLrquLra0tbG1tYW9vD4lE0uuhIM6dO4e33noLH374IWxtbfHII49g1apVA/LG+sX+KogikUgQFhYmhlCCg4MREhLCoTZuULm5uYiPj8fBgweRlJSEtrY2hIaGYtasWYiLi8PEiRP1AlWdnZ04ceIEjh07hmPHjiE5ORkNDQ2wtbUVwyVTpkzBuHHjBmwQC/jzd+CNN97AunXrMGHCBHz66afw9/fv9XYEQRCDHxUVFaiqqkJlZSUaGxshl8uhUCjEkKBSqURLS4sYutNRKpXi/y+Zm5vr/f+PLixoa2ur1+FK99zV1RWurq5ipyZdKL83zp07h3vvvRdZWVl4+eWX8cQTT8DIyKjX54KuD931WhdA0V2vKysrAfz52dq1I0pQUBDGjh3L8MN1plKpkJycjCNHjiA+Ph45OTmwtrbG9OnTceutt2L27Nk33ZBjREQ0IDF0QkRERET9r2tHkp46k+geq6urodVqxfV03Ugu7j7S9bXuuaurK0xNTQ14lERERINDXl4eJk+ejKioKPzwww/X5fN327Zt2LhxI2pqavp82/2lpqYG27dvx9tvv43Ozk4sXboUa9euhYeHh6FL61cajQYFBQV6IZQTJ05ArVbD3Nwc/v7+eh1Rxo8fzyCKATQ3NyMtLQ179uzB7t27UVpaCkdHR8yYMQMxMTGYPXs2hgwZIi6v0Whw4sQJHD16FEePHkVSUhKUSiVcXFwwadIkTJkyBZMnT8aoUaNgYmJiwCPrP1fS3WSw0Wg02Lx5MzZv3oyYmBh8+umncHd3N3RZ9Be6dkXRBVJ012xTU1MMHz682xA9vr6+hi57wKqpqcHBgwexd+9eHDp0CAqFAr6+voiJicHcuXMxc+bMAR3kIyKiGxZDJ0RERETUN1paWsRv3VVXV6OiokL8Jl5NTQ0qKyvFziRdW0NbWFjA1dUVHh4ekMlk4jjlunld37OysjLgERIREdHFysvLMXHiRHh4eCAxMRHW1tbXZT8DIXSi09TUhE8++QSvvPIK6uvrsXjxYjz//PMYPny4oUszmJ6CKFlZWWhpadEb6kE3DfTuGIaSn5+PPXv2YN++fUhJSYEgCBg3bhzi4uIwa9YsjBs3TgyMdHZ24uTJk0hOTkZKSgoOHz4MuVwOFxcXTJgwAZMmTbrkMDsDXV91NxnI0tPTce+996KpqQkff/wx5s6da+iSqBc6Ojpw+vRp/PHHH8jJyUF2djZycnLEriiurq4IDQ1FWFgYQkJCEBYWhuDg4B6Hy6Or197ejqSkJBw4cAD79+/H6dOnYWtri9jYWCxYsADz5s0bFF3ViIjohsDQCRERERH9tfb2dtTV1XXrQnLxY1VVFbr+aWlpaSl2Hbn4sWtHEjc3t0H3D9FEREQDQX19PaZMmQIjIyMkJSX1eqiF3hhIoROdtrY2fPvtt9i8eTOKiopw66234oUXXkB4eLihS7sh9BREOXnyJJqbm3sMonCYh95rb2/HsWPHsG/fPuzZswdFRUVwdnbG7NmzMWfOHMTExMDJyQnApUMmrq6uGD9+vBgyGTNmzKAeMoXdTa6cUqnE6tWr8eGHH2LZsmV44403OOTpTU4ul+PUqVN6Q/ToAoS6rihdr9ujRo2CRCIxdNkDxrlz53DgwAHs3bsXiYmJAIDY2FjcfvvtmD9/PhwdHQ1cIRERDWAMnRARERENVlqtVuxI0nUqLy9HVVUVLly4IHYt6UrXjcTLy0t81AVKPDw84ObmBldXV36LiYiIaABTq9WYOXMmSkpKkJqaqjfMxvUwEEMnOlqtFvv27cPGjRuRmZmJqKgobNy4ETNmzDB0aTeczs5O5OfniyGUvLw8ZGZmorGxsccgSnh4ODvlXaS+vh5HjhzBnj17sGfPHsjlcvj6+mLu3LmYN28eoqOjYWZmBo1Gg+zsbCQkJCA5ORlJSUlQKBSQyWSYMmUKoqKiMGnSpEEfMtFhd5Or9/3332PFihWQyWT46quvMHr0aEOXRH1IFyDMysrSm+RyOYyNjTFs2DCMHj0ao0ePxpgxYzBq1Cg4Ozsbuuybnlwux+HDh7Fnzx788MMPaG1tRUREBBYtWoQlS5bAzc3N0CUSEdHAwtAJERER0UCk0WhQWVmJ8+fP48KFCygvL8f58+dRVlaG8vJyXLhwAdXV1dBoNOI6UqkUnp6eYnjE09MT7u7u8PT0hJubG4YMGQKZTAZzc3MDHhkREREZmlarxcKFC5GcnIzk5GQEBgZe930O5NBJVwkJCXjhhReQkpKCqKgorF27FnPnzuVN/cuoqKjQ64iSmpqKhoaGHr9ZPxiDKPn5+fjxxx+xZ88e/PbbbzAzM8PUqVMxd+5czJ07Fz4+PgyZXAN2N7l258+fxwMPPICUlBQ899xzWL9+Pc/hAHfxLVfMNgAAIABJREFUdTsvLw/FxcUAAHd3d4SHhyM4OBhBQUEIDw9HUFAQrz1XqampCXv37sWuXbtw8OBBtLW1ITo6GnfccQfuuOMOuLi4GLpEIiK6+TF0QkRERHSz6ezsRFVVlV6gpLS0VAyTnD9/HlVVVejs7AQAmJiYwM3NDUOHDoWnpye8vLwwdOhQyGQyDBkyBG5ubvD09IS1tbWBj4yIiIhuBk899RS2bduG+Ph4TJ06tV/2OVhCJzrJycn497//jX379mHkyJF4+umncffdd8PU1NTQpd00Lr6hmZaWhvr6+h6DKGPGjBlQfwsLgoDjx4/jxx9/xI8//oj8/Hy4urpi3rx5mDNnDmJjY2FpaakXMjl27BiUSiXc3NwwefJkhkyuALub9C1BEPDOO+9gzZo1mDRpEj7//HN4eXkZuizqR7rhebpeu/Pz86HVaiGVSjFy5Ei9a3dgYCBMTEwMXfZNRa1WIyEh4f+xd+dhUZXv/8DfLIPsi+wIiCiIoGyCKIMChksIWSZtamoZppamuVRGlluaaZumH9fK0lJzCcwUEhcWEQFlU0EGkUX2fRmGYeb3R99zfjMsigoclvt1XXMFzDBzjzFnnnnO+7kfHD9+HGfOnEFdXR18fX0RHByM6dOn0yIjQgghT4tCJ4QQQgghPU15eTlycnLYS25uLvLy8thAycOHD9kOJQoKCmwXEnNzc1hYWLBfM+ESU1NTOkFBCCGEkE6xb98+LFy4EL/88gtmz57dbY/b30InjJSUFGzbtg1Hjx6Fubk5PvjgA7zzzjt9KiDRnVoGUa5du4bS0lIoKSlh+PDhciczXVxcoKGhwXXJHdbc3IzY2FiEhYXhzz//xL179zB48GBMnz4dgYGB4PP5SEhIQGRkJC5duoTY2Fg0NDTA3NwcPj4+8Pb2hre3N2xsbLh+Kr0CdTfpOikpKZg1axYePHiAXbt2YdasWVyXRDhUU1ODW7duIT09HWlpaezxWygUQkVFBcOGDev33ayellAoRGhoKH755Rf8888/0NLSQlBQEIKDgzF69GiuyyOEENK7UOiEEEIIIaS7FRUVyYVKcnJycP/+fdy/fx85OTmoqalhb2tiYgJzc3MMGjQIgwcPZr+2tLRkv+bxeBw+G0IIIYT0F//88w8CAwPx+eefY+3atd362P01dMK4f/8+vvnmG+zfvx8aGhpYvHgxli1bBj09Pa5L6/VaBlGuX7+O4uJiuSAKs8WDl5dXj/o3FwqFiIqKQmhoKI4dO4bCwkLY29sjMDAQ/v7+GDBgAC5duoTIyEhERUWhrq4OgwYNwsSJE9mgydChQ7l+Gr0KdTfpHg0NDfjoo4/www8/YObMmdi7dy90dXW5Lov0EE1NTcjIyJA7dt+8eRN1dXVy3ayYY7enpyf09fW5LrtHy8/Px6+//ooDBw4gMzMT9vb2ePPNNzF//nwYGRlxXR4hhJCej0InhBBCCCGdraKiAgKBgL0UFBTg4cOHEAgEyMjIkAuV6Onpwdramr2YmprCzMwM1tbWsLW1hZaWFofPhBBCCCHkP2lpaeDz+XjppZdw6NChbn/8/h46YZSUlGDXrl34/vvvIRaLMX/+fKxevRqDBg3iurQ+pWUQJT4+HkVFRQAAU1NTuRX1fD4fAwcO7LbaGhoacO7cORw/fhxhYWGor6+Hh4cHXnrpJbi5uSEzMxMRERGIiIhARUUFjIyM4O3tTdvldALqbtL9zp8/j/nz50NFRQWHDx/G+PHjuS6J9GBPcux2d3eHiYkJxxX3PFKpFNHR0fjpp59w/PhxCIVCTJs2DYsXL8Zzzz1H7x+EEELaQ6ETQgghhJAnVVNTA4FAgKysLLn/CgQCPHjwACKRCADA4/FgYWGBwYMHsxcrKyv2awsLC+pSQgghhJAer7CwEGPGjMGwYcPwzz//QEVFpdtroNCJvJqaGhw8eBDbtm1DSUkJXn31VaxduxbDhw/nurQ+q+XJzBs3bqCwsBBA65OZ48aNg4GBQac9tlAoxPnz53Hs2DGEhoaivr4e48ePx8SJEzFgwADcuHEDFy9eRFlZGbS0tODh4QE/Pz/4+flRyKQTUHcTbhUXF2PBggX4+++/sXLlSmzYsIE+R5MOe/DgAZKSkpCUlISbN28iKSkJDx48AAAMGjQIrq6ucHNzg7u7O9zc3GBoaMhxxT1HfX09Tp48if379+Py5cuwt7fH0qVLMWfOHNrmjxBCSEsUOiGEEEIIaUtBQUGrUAnzX+Zkh4KCAszNzWFtbY2hQ4fC2tqaDZZYWVnB1NQUSkpKHD8TQgghhJCn19jYiIkTJ6K0tBTXrl3jbGsRCp20TSQS4ffff8fmzZuRmZkJf39/fPbZZ3B3d+e6tH6hZRAlISEBDx8+BNA6iDJ27NgnOpnZ2NiICxcu4Pjx4/jrr79QU1MDFxcX2NnZQUFBAZcvX0Zubi40NTUxduxYNmTi4uJC3Tc6EXU36RmkUin27duHFStWwMHBAb/++itsbGy4Lov0UmVlZWwQhemIIhAIAACDBw+Gm5sbG0QZPXo0be0E4O7du/jxxx+xf/9+KCsrY968eVi+fDmsrKy4Lo0QQkjPQKETQgghhPRPTU1NyM7Oxr1799oMljQ0NAAAVFVV2a1vmGDJ0KFDMXToUAwZMgQDBgzg+JkQQgghhHSd4OBg/P7774iNjYWDgwNndVDo5NEkEgnOnj2LDRs2ID4+Hnw+H2vWrEFgYCDXpfU7skGU9PR0pKWlIT09HUDrIIqHhweMjIzY321ubkZsbCyOHz+OI0eOoLS0FNbW1jAxMcGDBw+Ql5cHdXV1eHp6stvleHt7U9eHLkDdTXqm27dvY/bs2bh9+za+/PJLLFu2jOuSSB9RXV2N5ORkuRBhe8duLy8vzkK4XKusrMTPP/+MHTt2IC8vD/7+/li2bBltvUMIIYRCJ4QQQgjp2yoqKiAQCNjJXmYbnLS0NAiFQgCAnp4eGyxpebGysqKVbIQQQgjpl3744Qd88MEHOH36NOfhBQqddFxUVBS2bt2KsLAwuLq6YtmyZZg1axZ14ONQRUUF0tLS2j2ZOWzYMIhEIqSnp6OmpgZ6enpQVlZGSUkJlJWV4eTkxHYyGT9+PAXfuxh1N+nZmpqasGnTJmzYsAHTp0/Hvn37oK+vz3VZpA+qrKzEjRs3EBUVxXZEKSoqgpKSEoYPHy4XRBk9ejTU1NS4LrnbNDU14eTJk/juu+8QGxsLZ2dnfPTRRwgKCqLjJSGE9E8UOiGEEEJI71ddXY2MjAxkZGTg7t277NcZGRmora0FAGhra8PW1ha2trYYPnw4+/WwYcOgra3N8TMghBBCCOlZoqKi8Nxzz2HdunX45JNPuC6HQidPITExEd9++y2OHDmCIUOGYNWqVZg/fz51xegh4uPjsWPHDoSFhaG2thYKCgpgpmlVVFRgZWWFcePGITAwEHw+HyYmJhxX3PdRd5PeJTIyEnPnzoVIJMLBgwfh7+/PdUmkH2i5rdq1a9dQWloKZWVl2NrayoVQ3N3d+0VIkHk/O3bsGOzt7fHZZ5/h5ZdfpvAJIYT0LxQ6IYQQQkjvIJVKkZ2djfT0dNy+fRuZmZlsyKSwsBAAwOPxYG1tLRcqYUImNElLCCGEENIxOTk5cHd3x/jx43HixIke0S6dQidP7969e9i2bRsOHToEMzMzLF++HO+88w7U1dW5Lq3fyc3NxbZt23Dy5Enk5+cDABQVFeHg4ICAgACMGTMGmpqacl1Rbt++DalU2mp7Bzc3N5iamnL8jPoO6m7SO1VVVWHJkiU4cuQI3nnnHXzzzTd0bCPdrmUQJTo6GhUVFeDxeLCxsZHblsfZ2bnPdh5jtr06cuQI7OzssHr1auq0Rggh/QeFTgghhBDSs0ilUuTk5LD7nzOX27dvo66uDgAwaNCgVqESW1tbDBkyBMrKyhw/A0IIIYSQ3ksoFMLT0xMSiQTR0dHQ0NDguiQAFDrpDDk5OdixYwf2798PdXV1LFmyBEuXLsXAgQO5Lq3Pam5uRlxcHH788UecP38epaWlAABNTU3w+XzMmzcPU6ZMgZ6eXrv3UVVVhZSUFLkTmnfu3IFEImGDKA4ODrC3t2e/Jh1H3U36huPHj2PhwoUwMzPDr7/+CmdnZ65LIv2cQCBgt+VJSEhAUlIS6uvroampCScnJ7kQ4YgRI/pUyC09PR1btmyRC5/Mnj27Tz1HQgghrVDohBBCCCHckd3bnAmZJCcno6amBgCgp6cHe3t7dhLVwcEBTk5OMDQ05LhyQgghhJC+aeHChTh27BgSEhJgbW3NdTksCp10ntLSUuzcuRM//PADRCIR3nrrLaxatQrm5uZcl9YnCAQChIeH4/fff0dMTAxEIhEUFBRgamqKadOmYfXq1c8caqiurkZycnKbQRTmM5TsCU17e/se0bGop6HuJn1LTk4O3nzzTVy/fh2ff/45/f8kPYpYLMbdu3fljtsJCQkQCoXQ1tbGqFGj+txxOy0tDevXr8eJEycwatQorF+/Hi+88ALXZRFCCOkaFDohhBBCSNerqKhAUlISkpOT2c4l6enpqKqqAgCYmJjAwcGh1UVXV5fjygkhhBBC+o/ff/8db7zxBk6cOIEZM2ZwXY4cCp10vtraWhw4cABff/01iouL8eqrr+KTTz6BnZ0d16X1KgUFBYiOjkZERAT++usvFBYWQlFRERKJBIMGDcKsWbOwevVq6Ovrd2kdNTU1uHXrVptBFF1dXTg4OPS5E5pPi7qb9F3Nzc34+uuv8dlnn2HChAn46aefMGjQIK7LIqRNQqEQt27dwo0bNxAfH48bN27gzp07aG5uhpGREdzc3ODu7g4PDw94eHj02s5kqamp+OKLL/Dnn3/Cx8cH27dvh4uLC9dlEUII6VwUOiGEEEJI57p//z5u3rwpd8nJyQEAGBoaYtSoUWzXEubSWz84E0IIIYT0FRkZGXBzc8M777yD7du3c11OKxQ66ToikQi///47vvzyS2RkZMDf3x+ffvopPDw8uC6tRyopKcGlS5cQERGBqKgopKenQ0VFBXp6eigpKYGGhgZee+01vPvuu3B1deW01traWty8eVMuiHL37l00NzdDR0cHI0eO7HdBFOpu0j/Ex8dj9uzZKC4uxu7du/Haa69xXRIhHVJbW4ukpCQ2iBIfH4979+4BAGxtbeHh4YExY8Zg7NixcHJyAo/H47jijouNjcWKFStw/fp1zJs3Dxs3boSpqSnXZRFCCOkcFDohhBBCyNNhWoMy2+IkJCTg+vXr7IkAZn9x5uLg4NCjWrQTQgghhJD/1NXVwcPDAxoaGrh69SpUVFS4LqkVCp10PYlEgrNnz2LTpk2Ii4sDn8/HmjVrEBgYyHVpnKqvr0dMTAwiIiIQERGBpKQkKCgowM7ODlpaWrhz5w6qq6sxceJEzJkzB0FBQVBTU+O67HYxQRTZz3Hx8fEQiURtbvEwYsSIPhHKoO4m/U9DQwM++ugjfP/995gzZw5+/PFHaGpqcl0WIU+sqqoK8fHxiIqKQkJCAmJjY1FWVgYejwdHR0fw+fxeEx6USqU4ceIE1qxZg+LiYoSEhGDlypVQUlLiujRCCCHPhkInhBBCCHk8oVCIpKQkJCYm4ubNm0hKSkJqaioaGxsxYMAAjBw5Es7OzuzFyckJWlpaXJdNCCGEEEI6YN68efjrr7+QmJgIKysrrstpE4VOuldUVBS2bt2KsLAwODs7Y/ny5Zg1a1a/OCkkFotx69YtNmRy9epVNDY2wtraGt7e3lBWVkZCQgISExNhbW2N+fPnY+7cubCwsOC69KfW1NSEjIwMuY4oN27cQGNjY58IolB3k/7t1KlTCA4OhpaWFg4fPgw+n891SYQ8M4FAwIZQZMODJiYmcHNzY4/XfD6/R3YXbmhowNatW7FlyxaMGDECu3fvxtixY7kuixBCyNOj0AkhhBBCWisoKEBCQgKio6PZD7FCoVBuwtHBwQH29vZwc3ODqqoq1yUTQgghhJCn8PPPP2P+/PkICwuDv78/1+W0i0In3EhKSsI333yDI0eOwMrKCu+//z4WLlzY58b/qampuHDhAiIiInDlyhXU1dVh8ODBeO655/Dcc8/B3Nwcx44dw+HDhyESiTBz5ky89dZb8PHx6dEryp9FW0EU5nOhlpYWHB0de3wQhbqbEEZRURHeeustXLhwAWvXrkVISEi/CNGR/qOurg4JCQmIi4vDtWvXEBcXh/z8fCgpKcHe3h5jxozBuHHj4OHhAXt7+x5zvE5PT8fixYsRFRWFZcuWYePGjT26WxghhJB2UeiEEEII6e9qampw69YtNmASFxeHkpISKCsrw9bWFl5eXmyrzp7eppMQQgghhHRcdnY2nJ2dsWDBAmzfvp3rch6JQifcysrKwvfff4+9e/dCV1cXCxcuxPLly6Gjo8N1aU+luLgY4eHhCA8Px4ULF/Dw4UPo6+tj4sSJbNDE0tISZ86cwd69e/Hvv/9i6NChWLBgAd5++20YGBhw/RQ48aggiqamJpycnOSCKHZ2dpyd2KfuJqQlqVSKffv2Yfny5XB0dMThw4cphET6NGZBGbOoLCYmBvX19ezxmpnv47obilQqxaFDh7BixQqYmJjg0KFDGDduHGf1EEIIeSoUOiGEEEL6E7FYjOTkZHbVw/Xr13H37l1IpVIMGTIEY8eOhYeHBzw8PODi4oIBAwZwXTIhhBBCCOkCEokEEydORElJCW7cuNHjV5VS6KRnKCwsxJ49e/Dtt99CKpVi0aJFWLVqFfT19bku7ZHEYjGuXbuGsLAwREREICkpCQoKCnB2doafnx/8/Pzg7e0NHo+HgoICHD58GDt37kRBQQEmTpyI4OBgzJgxgzojtEEsFuPu3btyIZTExEQ0NDRAU1MTw4cPh729PRtEGTNmDFRUVLqsHupuQh4nPT0ds2bNgkAgwLZt2xAcHMx1SYR0C7FYjJSUFMTExCA2NhaxsbEQCARQVFSEvb09PD094enpibFjx2L48OHdXl9eXh7eeecdhIeHY+XKldiwYQN4PF6310EIIeSpUOiEEEII6cuam5tx8+ZNREVFITo6GuHh4aisrJRrh+zl5YUJEybA2NiY63IJIYQQQkg32bhxIzZu3Ii4uDg4OTlxXc5jUeikZ6mursbu3buxbds2CIVCvP3221i5ciUsLCy4Lo0lEAgQERGBiIgI/PPPP6ipqYG1tTUbMpk8eTLbqUUikeDixYvYu3cvTp06BQMDA8ydOxeLFi3C4MGDOX4mvU9bQZSkpCTU19eDx+PBxsZGriOKu7t7pyx4oO4mpKOEQiE+//xzbNu2DTNmzMD//vc/Tjs9EMKVoqIiXL9+ne2GEh0djYaGBmhra2PMmDFs5+MJEyZ0S3czqVSKAwcOYPny5bC3t8fvv/+OIUOGdPnjEkIIeWYUOiGEEEL6ErFYjPj4eFy6dAmXL19GdHQ0amtrYWpqCh8fH/j4+MDLywt2dnY0+UYIIYQQ0k8lJiZi3Lhx+PLLL7FixQquy+kQCp30THV1ddi/fz+2b9+OwsJCvPbaa/joo49gb2/f7bWUlJTg0qVLiIiIwLlz55Cbm8tumePn54cpU6a0CpBUV1fj4MGD2LlzJwQCAXx8fLBo0SK8+OKLtLq6kz1pEMXNzQ2qqqodum/qbkKeVkREBObNmwdFRUX88ssv8PHx4bokQjjFHKuZLbijoqKQnZ0NJSUlDB8+XG4LbgcHhy6rIyMjA6+++ioEAgH27NmD119/vcseixBCSKeg0AkhhBDSm7XsZHLhwgVUVVXB2NgYEyZMAJ/Ph5eXF1xdXaGgoMB1uYQQQgghhGP19fVwdXWFsbExIiMje00QmUInPVtTUxOOHj2KrVu34s6dO/D398fatWsxduzYLntMoVCIqKgotptJUlISFBUV4eTkxHYz8fHxgbKycqvfvX//Pn744Qfs378fEokEc+fOxXvvvQc7O7suq5e01tzcjDt37sgFUW7evIm6uroOB1Gouwl5VpWVlVi0aBH++OMPvP/++9i2bVuXbgFFSG/z4MEDuS15bt68iaamJpiZmcHT0xN8Ph98Ph8uLi5tvuc+LaFQiBUrVmD37t1Yvnw5vvrqq069f0IIIZ2KQieEEEJIb5Oamorz588jPDy8VScTb29v+Pj4cLL3KiGEEEII6fnee+89HD16FLdu3YK5uTnX5XQYhU56B4lEgrNnz2Lz5s24du0a+Hw+1qxZg4CAgE4JwT/JljltSUhIwHfffYejR4/C0NAQwcHBWLp0KW2r0YM0NzcjJycHaWlpbBAlJiYG5eXlUFZWhq2tLUaPHg1nZ2dkZmbiwIED1N2EdIpffvkFS5YsgZWVFY4cOYJRo0ZxXRIhPVJ9fT1u3LiB2NhYxMTEICYmBqWlpdDQ0ICHhwfGjx8PPp+PcePGQVNT85kf78iRI1iwYAG8vLzw+++/03s2IYT0TBQ6IYQQQnq6qqoqdlL1/PnzbJtoPz8/+Pr6UsiEEEIIIYR0SHR0NCZMmICff/4Zs2fP5rqcJ0Khk94nKioKW7duxdmzZ+Ho6IgVK1bgjTfeeKJVyrJb5vz999/Iy8uDgYEBfH19290ypyUmCLNlyxbExMRg9OjRWLp0KV5//XXaQqcXKSgoYEMokZGRiImJgVgshqKiIuzs7OQ6ori6ukJdXZ3rkkkvlJ2djTlz5iAhIQFbtmzB0qVLqWssIR0gEAjYLsxRUVG4ffs2FBUV5bbk8fb2fux7dnsSEhLw4osvQlVVFaGhodSZjBBCeh4KnRBCCCE9UXZ2Ns6cOYMzZ84gKioKUqkU7u7umDp1KqZOnQo3NzcoKSlxXSYhhBBCCOklRCIRXFxcYGlpiXPnznFdzhOj0EnvdevWLWzfvh1HjhzB4MGDsXTpUgQHB0NNTa3VbRsbG3H16lWcP38eFy5cQEpKClRUVODp6YnJkydj0qRJcHFx6dD2KdXV1Th06BB27NiBvLw8+Pv7Y9myZfDz8+uKp0m6QVNTE3bs2IGQkBB4eHhg69atKCsrY8Mo165dQ2lpqVxHFObi4uICDQ0Nrp8C6QXEYjG2b9+OkJAQ+Pr64tChQzAzM+O6LEJ6laKiIly/fp0NocTHx0MkEsHU1JQNoXh5eXX4PZ25z5deegkZGRkICwvr0i38CCGEPDEKnRBCCCE9RUJCAhs0SU5Ohq6uLp5//nm88MILmDRpEvT19bkukRBCCCGE9FKff/45tm3bhpSUFFhbW3NdzhOj0EnvJxAI8N1332Hv3r3Q0dHBu+++iw8++ADl5eX4559/cO7cOURGRqKurg729vZsyMTb2/uJwgJ5eXn4+uuvsX//figrK+Odd97Be++999Srq0nPcOvWLcybNw8ZGRn47LPPsGrVqjZPVMp2RElISEBcXBxKSkqgpKSE4cOHUxCFdFhcXBxmz56Nqqoq7N+/Hy+88ALXJRHSa9XV1SEpKYkNoURFRaGyshLa2toYM2YMG0Lx8vKCqqpqu/cjFAoxe/ZsnDt3DseOHcO0adO68VkQQgh5BAqdEEIIIVxKS0vD8ePHceTIEWRmZsLCwgLPP/88AgICMGXKFKioqHBdIiGEEEII6eXu3LkDZ2dnfPnll1i+fDnX5TwVCp30HTk5OQgJCcGxY8cgFovR3NwMdXV1eHp6IiAgAC+++OJTBUQyMzOxdetWHD58GMbGxvjwww/x1ltvQUtLqwueBekuLbubHDp0CMOGDXui+2gZRLl+/Tp7LDE1NZULovD5fAwcOLArngrphaqrq7Fq1Srs3bsXc+bMwe7duymoREgnEIvFSExMZEMo0dHRKCoqgpqaGsaMGQNvb29MmDAB48aNa7VdmlgsRnBwMH799Vf8+uuveOWVVzh6FoQQQmRQ6IQQQgjpbikpKTh69CiOHTuGrKwsDBkyBEFBQXjllVfg6upK+wUTQgghhJBOI5FIMGHCBIhEIsTGxvbaLRopdNK7CQQCREREICIiAufOnUNtbS2srKxgaWmJ1NRU1NXV4ZVXXkFISAhsbGye6L6Tk5Px9ddf4+jRo7C0tMTSpUuxcOHCR66UJr1DR7ubPI2WQZT4+HgUFRUBaB1E8fT0pM6j/dyJEyewcOFCGBkZ4bfffoOrqyvXJRHS52RkZCA6OhpXrlzBlStXIBAIwOPx4O7uzoZQ+Hw+tLS0IJVKsWLFCuzcuRNHjx7FzJkzuS6fEEL6OwqdEEIIId2hoqICx48fxy+//ILo6GhYWFjgpZdeQlBQEPh8PgVNCCGEEEJIl9i1axeWL1+O+Ph4ODk5cV1Oh6SlpWH27NkQi8XszyorK1FWVoahQ4eyP1NQUICvry++++47Lsokj1BfX4+YmBhERETgr7/+wu3bt6GpqQkfHx8EBgbi+eefh4WFBQCgsbERf/zxBzZu3IisrCy8/PLLWLduHRwcHB75GNHR0diyZQvOnj2LkSNHYuXKlXjjjTegrKzcHU+RdKHO6G7yNFoGUW7cuIHCwkIArYMo48aNg4GBQZfXRHqO3NxczJ07F1evXsXatWsREhLSa4OchPQGhYWFuHr1KtsJJTExEYqKihg+fDi8vLzg5+eHK1euYPfu3fjtt9/w6quvcl0yIYT0ZxQ6IYQQQrqKRCLBuXPncODAAZw9exYqKioICgrCvHnzMH78eAqaEEIIIYSQLlVaWgpbW1sEBwdjy5YtXJfTYRKJBGZmZmzXgUf53//+h+Dg4G6oijwO080kNDQU4eHhaGxshL29PQIDA+Hn5wdvb2/weLx2f18ikeDPP//EF198gfT0dEybNg0ff/wxPD095W4XFRWFrVu3IiwsDHw+H2vWrEFAQAB9vuojurK7ydNoGURJT0+HQCAA0DqIMnbsWBgaGnJWK+l6UqkU33//PdasWQNXV1f8+uuvsLa2bvf2TU2OqWhrAAAgAElEQVRNjzzuEUI6rri4GHFxcYiOjkZERASSkpIAADo6OqiqqkJISAjee+89CgQSQgg3KHRCCCGEdLaysjIcPHgQe/bsQXZ2Nry9vTFv3jzMnDmT9v4lhBBCCCHdZvHixTh58iQyMjKgra3NdTlPZNWqVfj+++8hEonavY2ysjIKCwtp2wuO1NXVITY2FqGhoTh9+jQePHgAfX19TJw4EX5+fpg2bRoGDRr0xPcrlUoRFhaGLVu2ICYmBnw+H6tXr4ZUKsX69euRmJiIqVOn4uOPP8aECRO64JkRLnDV3eRpVFRUIC0trVUYBWgdRPHw8ICRkRHHFZPOlpqailmzZiEnJwc7d+7E7Nmz27zd0qVL4ebmhjfffLObKySk76uursb169cRERGBffv2oby8HABgbW0NPz8/8Pl8+Pj4wNLSkuNKCSGkX6DQCSGEENJZ0tLSsGPHDhw9ehQ8Hg9z587F4sWLYWdnx3VphBBCCCGkn0lPT4eTkxP27duHefPmcV3OE0tMTMTo0aPbvV5JSQlTp05FWFhYN1ZFBAIBQkNDERYWhitXrkAsFsPFxQV+fn7w8/ODj49Pp25vExUVhZUrVyIuLg4AMHr0aOzevRvu7u6d9hikaxUVFWHgwIGP7PbQ07qbPI3KykqkpqbKBVFu374NqVTaKoji7u4OExMTrksmz0goFGLNmjX44YcfMHPmTPzvf/+Dnp4ee/0///wDf39/qKqqIjU19ZEdUQghz0YoFMLX1xcCgQAzZsxAQkICkpKSIBaLMXz4cPj6+rIX6khFCCFdgkInhBBCyLOKj4/H5s2b8ddff8HOzg7vv/8+Zs+eDU1NTa5LI4QQQggh/dTUqVNRXFyMGzdu9LqTtwwbGxvcu3evzesUFRXx22+/4bXXXuvmqvqX2tpaREZGIiwsDH///Tfy8vJgaGgIHx8f+Pn5ITAwEKampl3y2NHR0QgJCUFkZCTGjh2LgQMH4sKFC7CwsMCyZcsQHBwMNTW1Lnls0jnEYjF8fX0xefJkhISEtLq+N3U3eRpPEkRxc3PrstcS6VoXLlzA/PnzwePx8Msvv2DChAkoKSnBiBEjUFFRASUlJTg5OSE2NrZTQ3mEEHllZWUYN24cTE1N8e+//6KhoQFRUVG4fPkyIiMjkZCQAIlEgpEjR2LixImYOHEivL29oaOjw3XphBDSF1DohBBCCHla165dw2effYbw8HC4u7vjk08+wQsvvNBrJ/UJIYQQQkjfEBoaihdeeAGXL1/u1duPfPHFF9i0aROamppaXaeqqorS0lLavrILyHYzuXz5MiQSCZydneHn54eAgAB4enp26WeeuLg4bNy4EWFhYeDz+di0aRO8vb0BANnZ2fj222+xb98+aGlpYdGiRVi2bJlcdwHSc3z88cfYsmULlJWVkZCQAEdHR/a6vtDd5GlUVVUhJSXlsUEUBwcH2Nvbw8HBgeuSSQeUlJRgwYIFCAsLw3vvvYecnBz8/fff7PuXkpISPv30U3z++efcFkpIH5eamgoPDw8sXboUX375pdx1zLaAERERiIiIQFJSEhQUFODs7Aw+nw8vLy9MnjyZQiiEEPJ0KHRCCCGEPKmMjAx88sknOHnyJMaPH49PP/0UkyZN4rosQgghhBBC0NTUhJEjR8LZ2Rl//PEH1+U8k3v37sHGxqbVz3k8HmbOnIkjR45wUFXf09jYiMuXLyM0NBRnz55FdnY2DA0N4e/vj2nTpmHSpEnQ1dXt8jpSU1Oxfv16nDhxAmPHjsWGDRvw3HPPtXnb4uJi/Pjjj/j+++8hFosxf/58rFmzBmZmZh16rLKyMujr63dm+aSFc+fOYdq0aZBKpVBWVoatrS1u3rwJAH26u8nTqK6uRnJyslwQ5c6dO5BIJNDT04O9vb1cVxQKovRcv/zyCz755BMUFBSg5WkXBQUFREZGsiE6QkjXOHjwIBYsWIDQ0FBMmzat3duVlpYiNjYW0dHRiIiIQGJiItuZiNk20MvLC6qqqt1YPSGE9FoUOiGEEEI6qrKyEmvXrsW+fftga2uLrVu3PvLDCyGEEEIIId3thx9+wOrVq3H79m1YWVlxXc4zc3JyQkpKSquTd2FhYTQWfwalpaX4+++/ERYWhvPnz6O6uhrW1tYICAhAYGAgfHx8um0biLS0NKxbtw4nT56Em5sbNmzYgClTpnTod2tqanDw4EF89dVXKC0txauvvopPP/0Utra2j/y90aNH4+2338bixYs74ymQFvLy8jBq1ChUV1dDIpEA+K/Tw5IlS/Dvv/8iJycHX331Fd59910oKChwXG3PVFNTg1u3brUZRNHV1YWDg4NcEMXe3p7+LXuArKwsjBo1Cg0NDa2uU1JSgqGhIdLT06k7EyFd7M0330R4eDjS0tIwcODADv1OUVERrly5wnZCEQgEUFNTg6urK7y8vODn54cJEyZARUWli6snhJBeiUInhBBCSEf8+eefeP/99yGVSrFp0ybMnTsXSkpKXJdFCCGEEEIISygUYtiwYXjllVewY8cOrsvpFNu3b8dHH30EsVjM/kxbWxslJSU06f+E0tLSEBYWhtDQUMTGxkJFRQVeXl4ICAjASy+9BEtLy26tp7S0FBs2bMCuXbtgZ2eHdevWYebMmU914ryxsRF//PEHNm3ahHv37sHf3x/r1q2Dm5tbq9teuHABU6ZMgYKCAr799lssXbq0M54O+T9isRjjx49HQkJCq62xFBUVMWnSJOzevRtDhgzhqMLeq60gyt27d9Hc3AwdHR2MHDmSgigcEovF8PDwQEpKSpvbwgH/deoKCgrCb7/91s3VEdK/VFVVYeTIkXjuuefw008/PdV9ZGdn4+LFi4iMjMTFixfx8OFDaGlpwdvbG35+fpg0aRLs7e07t3BCCOm9KHRCCCGEPEppaSmCg4Nx+vRpzJs3D9u3b6cVKYQQQgghpEdiupxkZWV1eJuRnq6goAAWFhZstwQej4e33noLe/bs4biynq+hoQHR0dEIDQ3FqVOnkJubCyMjI0yZMgWBgYGYOnUqtLS0ur2u+vp67NixA1u3bsXAgQOxefNmvP7661BUVHzm+5ZIJDh79izWr1+PGzdugM/nY82aNQgMDGRvM2HCBMTGxrJBpk2bNuGTTz555scm/1m1ahW++eYbNDc3t7pOWVkZw4cPR1JSEng8HgfV9T21tbW4efMmG0JJT09HSkoKRCJRm0GUESNGdMprjbS2du1abN26tc2//ZZ+++03vPHGG91QFSH915kzZ/Diiy/in3/+6XAHtUe5ffs2G0C5ePEiKioqMGjQIEyaNAmTJk2Cn58fjIyMOqFyQgjplSh0QgghhLQnLi4OQUFBUFRUxIEDB9rdT5wQQgghhBCuNTY2YtiwYXj55Zfx7bffcl1Opxo/fjxiYmLY4Mnly5cxYcIEjqvqmYqKinD+/HmEhYXh3LlzqK2thb29PQIDAxEQEAA+n89Z5wOpVIoTJ05g9erVKCkpwcqVK7FmzRqoqal1yeNFRUVh69atCAsLw+jRo7FmzRpYWlpi7NixrW67fv16hISEdEkd/cnZs2cRGBjYajssWUpKSli3bh39e3chkUiEzMxMuY4oN27cQGNjI7S1tTFq1KguDaKIRCIsWLAAmzdvhrm5eafdb0929epV+Pj4QEFB4bGhEwUFBairqyM1NbVPbINHSE8WFBSElJQUpKamduq2gc3Nzbh58ya7Fc/Vq1fR2NgIa2tr+Pn5wc/Pj7NwLyGEcIRCJ4QQQkhb9uzZg2XLlsHPzw+HDx/u8P6fhBBCCCGEcGHXrl1YuXIl7t27h0GDBnFdTqfau3cvFi1aBIlEAkNDQxQWFtJK/f8jkUiQlJSE0NBQhIWFITExEWpqavD09ERAQABmzpzZI/4erl27hhUrViAuLg6zZs3CV199BRMTk2557OjoaGzZsgVnz56Frq4uamtr29z64vPPP8e6deu6paa+KCcnB46OjqitrWUDYu1RVlZGQkICHB0du6k60tTUhIyMjDaDKFpaWnB0dOy0IEpiYiJGjx4NVVVVhISE4MMPP8SAAQM6+Rn1LExnqYiICJw4cQJZWVng8Xhobm5u8/XA4/Hg6uqK6Oho2rqZkC6UnZ2NESNG4JtvvsGiRYu67HHq6+sRExPDhlASExOhqqoKPp/PhlBcXFxo/EoI6csodEIIIYS0tGnTJoSEhOCLL77A2rVr6QMBIYQQQgjp0UQiEWxtbTF9+nR89913XJfT6crLy2FsbAyxWIwPP/wQX3/9Ndclcaq+vh7//vsvwsLCEBoaiocPH8LKygqTJ09GQEAAJk+e3GNO8GZmZmLt2rU4fvw4/Pz8sH37ds6CBn/99RdefPHFdrtwKCgoYPXq1diyZUs3V9b7iUQijBs3DikpKW0GemTxeDw0NTXB1dUV8fHx9HmbQ20FURISEiAUCqGpqQknJye5IIqdnV2HAhL79u3DokWL0NzcDCUlJQwaNAg7d+6U2+aqrxMIBIiIiMDp06fx77//QiQSsX/7DOr6Q0j3WL58OY4cOYLMzExoa2t3y2MWFRXhypUriIiIwNmzZ5Gfnw9DQ0P4+PiwXVAsLS27pRZCCOkmFDohPV9FRQX7tVAoRENDA/t9ZWVlq8mC9lastKXl/T2OiooKNDQ0OnRbRUVF6OjotPq5rq4u28p2wIABUFdXZ6/T0dGhD9uEcCwkJASbN2/G7t27ERwczHU55BnU1dVBJBKxx3qxWIyamhr2+rbeQxhVVVXtrs7j8XjQ1NRs8zplZWW51pnMMV9TUxM8Hg9qampQVVV9hmdFCOmvpFIpKisr2e9lj2E1NTUQi8XsdRKJBFVVVY+9z47eDuj4OLit2zHHQABQV1dnT4Sqqqp22ZYKhPQ3P/74I1asWIGsrKwe0dXiWdTU1KCkpAQVFRXs8a25uRkff/wxkpKS5EILWlpa0NDQgIGBAQwMDDq1bXpnKy8vh5qa2lMf97Kzs3HmzBmcPXsWV65cQXNzM8aNG4eAgAAEBATAwcGhkyt+NuXl5fj888+xZ88e2NnZ4euvv8bkyZM5rWnevHk4cuTII+eMFBQUsHLlSnz11VfdWJm85uZmVFdXo6amBg0NDaitrWV/Jqu+vh6NjY1yP5N9n2Xo6ekB+G/OSU1NDerq6uzPOsuyZcuwa9euNrcVUVZWhlQqRXNzMwwMDODj44NJkybh+eefh4WFRafWQZ5dW0GUxMRENDQ0yAVRHBwcYG9vjzFjxkBFRUXuPt59910cPHiQfa0pKipCIpHAx8cHu3btgr29PRdPjTN1dXW4ePEizp07h9DQUOTl5bEBFEVFRcTExMDDw6PV78nOicvOUVRXV8u91lrOdbSnsbER9fX1HapZS0urQ++psvPcgPxnAdm5EyUlpW472U9IS6WlpbC2tsa6devw4YcfdvvjSyQSdiue8PBwREVFQSgUwsHBAZMmTcLkyZPh4+Pz1GPE1NRUDBkypMPnrbpbZWUliouLUVNTw85jyJ6XY+YLmDlVPT09GBkZtTv3SgjpsSh0Qh6tsrIS9fX1aGhoYL9ubGxkB7dMwIM5sdfQ0AChUMi+aYhEItTV1bGDX+ZDcstJ80cFS/qrlhP22tra7GoCZuDPvCEzkwrMyUwmzMIM7pk3bCYIo6CgAF1dXfbn2traUFNTg4aGBgVfSL+2c+dOLFu2DAcOHMC8efO4LqdfEYlEKC8vR1lZGcrLy1FVVYW6ujpUVVWhuroatbW1qK2tZT+g1NXVsT+rqKiQe195VGCkp2COz8xxmZmA0dHRgaamJjQ0NKClpQVdXV1oamqyF+Z7HR0dDBw4EPr6+hg4cCC14yWkm4lEItTU1Mgdo4RCISorKyGRSFBZWcmOe5nxMDPGZcbTzIlU5pjFjIebmppQW1sLAG2eYOqrZMe+spPSTDBFQ0MDKioq7DiYOXbq6uqyt2eOrczvMGNkPT09uWNpW8FwQnqz5uZm2NjYwN/fHzt37uS6nMeqrKzErVu3cO/ePWRlZUEgEEAgECA/Px9lZWWtTqI/CV1dXRgbG2Pw4MEYOnQorK2tYW1tDXt7e9ja2nL2WffmzZt46aWXsG3bNsycObPDv5eeno6TJ0/i1KlTSExMhK6uLqZOnYqAgABMnToV+vr6XVj105FKpTh8+DBWrVoFRUVFrF+/Hm+99Rbn49W8vDwMGTJELqTZHkVFRXzwwQfYvn37Mz9udXU1cnNzUVBQgJKSEpSWlqKsrAxlZWUoLS1FcXExysrK2M81bQVJuoq6ujrU1dXZzyFGRkbQ19eHgYEB9PX12a9NTExgamoKCwuLNk+InTp1Ci+//DIbhmX+XzMhkylTpsDPzw++vr4YPHhwtzw30rnEYjHu3r3bZhBFRUUFw4YNk+uIsnjxYqSkpLS6Hx6PB4lEgiVLlmDDhg29KoRQVVWFmpoadh6isrKSnQdn5seZ+fKKiopWnwWY29bV1aG6uhpFRUXsZwQFBQX230J2vryvarlQkwnBMZ8HWo7/mTlxPT09dtzf1m1VVVWho6MDbW1taGpqQktLi05aE9by5ctx4sQJCAQCdkEEVxoaGnDlyhWEh4cjPDwcKSkpUFNTg6+vL6ZNmwZ/f/8ner98+eWXkZaWhtDQUNjY2HRh5W2rra1FcnIy7t69i6ysLHaMn5+fj9LS0g4vEG9JVVUVBgYGsLS0xLBhwzB06FAMGzYMdnZ2GDlyZKvAIyGEcxQ66WuYE3QtL5WVlWxopL6+nj2Z19DQ0Gr1RHV1NXu7x2EmcpkBXkfDDoB8Elo2UPGosEXL1eVtpa4ftQK9Jdl6OqJlkvxR2pooaBm2YT5wPO46oO10+9OGfx6H+f+pp6fHTtjr6OhAQ0MDampq0NbWhpaWFtTU1NiToDo6Oq0u2traveoDJOnfwsPD4e/vj/Xr1+Pjjz/mupxer7q6GgUFBSguLkZBQQGKiorYyVUmXCL7fVvHJua9Q1tbGxoaGtDU1GQnRJnvtbS02LAc877CvDcwQTzmfaXlxAYzgdGWtlYIMloen9u7Tva4zhyvmeM0s8KIOS4zJ5krKytRW1vLhmoqKirkAjbtTUDp6urCwMAAAwcOlAujMJPFZmZmMDY2ZieMZbtsEdLfVFVVoaKiAuXl5aioqJC7yE4ktxd6q62thUgkeuRj6OrqssclZjzc3iQqc8xijmEtVwHKrkSWDQfLjoPbOp51dHViR2/XspvKk9xONgwoe73seFk2eM6MXWVv01ZIh5nMZ46hzLG1IyfsWk5GtxVMYca8enp6bV56ytYVhPz555945ZVXcPv2bdja2nJdjhyhUIi4uDhcvXoVSUlJSEpKQnZ2NoD/VjUyoRBra2tYWFiwJ7uNjIygp6fHHvcUFRXB4/GwZ88eLFmyhJ2vqKurQ01NDUpLS9kT+EVFRbh//75cmEUikUBTUxOOjo5wcXGBu7s7fHx8uuUE+K+//ooFCxZAJBJh+vTpOHXq1CNvn5aWhuPHj+P48eNIT0+HgYEBnn/+eQQFBWHKlCk9eoL93r17WLx4Mf7991/MmjUL3377LQYOHMh1WQD+O9n0/fffdzicrqCggPfffx/ffvut3Cr+lsrKypCZmYnMzEwIBALk5eUhLy8Pubm5yM3NlQuPKisrs3/jsn/rBgYGbOBcXV0dampqbBhdTU2N7aT4qI4CjJbvw7LzQMxJ8vr6erlFZsy8oWwoRva/slPHBgYGMDc3h4WFBSwsLKCuro6dO3eyn4F0dXXh5+fHhkx62jGJdJ62gihJSUmor6+HsrLyI8eNPB4POjo62L59O+bMmfPI19izYkIgbY3/q6urUVlZiZqaGvZzQE1NDSoqKuQ+AzwuBM7MPTCLA2XD0cxnAWbOnJlrYG4rEolQWFgIVVVVDB8+vN35ctkxu2wXQYbsbR+lI12OOhp8lw3LM2TH9LKdVWTH97LHJdnHai+kzwT6q6qq2MdkbsvMsTzuOTNjfmZeiVnQw/xcR0cHurq6cmP9gQMHsl+T3u/+/fuwsbHB4cOH8dprr3FdjpyCggL8/fff+PvvvxEeHo7a2lqMHDmSDaDw+fx2X981NTUwMDBAU1MTNDQ0cPToUQQEBHRZrVKpFCkpKbh06RJu3LiBhIQE3L17F83NzVBTU2ODIUOHDmXH9oaGhjA2NmZfe4D8DgDMa53pxFpeXo7i4mKUlpaipKQE9+/fR1ZWFrKysnD//n2IRCKoqKhg1KhRGD16NMaMGQNfX19YW1t32fMmhHQIhU56ItkTcbKXyspKNkRSXV3Nfl1RUcF+3daAnglW6OrqsqGBlgECTU1NqKurswMv2a4XTOhAV1eXbQXb1uCW9B4t0/ZVVVXsoL6iogINDQ1y3W2YSQjZoFJtbS3q6+vZk6DV1dWP/ftrK5jCDOqZE6MtL9R1hXSHjIwMeHh4YNq0aTh8+HCXTnj0do2NjcjNzUVOTg4ePHiA3NxcFBcXIz8/H8XFxXj48CEKCwvlOlYpKSmxk6mygYiW38v+l3n/Ia0xJ8NlAzzl5eUoLS2V+17258XFxXL3oampiUGDBsHIyAimpqYwMTGBiYkJzM3NYWVlhcGDB8PMzKxHt6gnpKGhASUlJSgsLERJSQl7aRkkaXlp62QTM8EoOxkpu0pONuQmG0yQDSowK4W5XslN/j8miNJWgKiqqor9ngn5yX7P/A5z4qGtEAuzPUF7k9N6enowNjaGkZERDA0NYWhoCAMDAxpnkE43fvx46Ovr4/Tp01yXAgBISEjA2bNnERkZiWvXrkEoFMLS0hKjR4+Gq6srXFxc4OLiAjMzsye+b7FY/MTjk8bGRqSmprKhl8TERCQlJaGxsRFDhgxht/rw9/fv1E5IYrEYn376KbZu3QoFBQVIpVLweDyUlpbKhQslEgliYmIQFhaGkydPIjMzE5aWlnjxxRcRGBgIHx+fHj8mE4lE2LhxI7766is4ODhgz549cHd357osVm1tLZycnJCdnS0XoODxeFBUVGS3cGrL4sWL8cMPPyA7Oxs3b95Eeno6MjIy2KBJeXk5gP9OngwZMgTm5uYwNzeHpaUlzM3NMWjQIFhaWsLMzKzHBHCehFQqZRcS5OXl4cGDB2yw5v79+0hISIBQKGT/XU1NTWFjY8NeRo0aBScnp16/7RfpGLFYjFOnTuGVV1557G2Z8ZCLiwt2796NMWPGPPZ36uvrUVxc3Gr8Lxsmafl1W+EJZWVl6OnpsSdAtbS02M8Bsh1HZQMJLT8XMAFkWtDRM9TU1EAoFMotFJBdvNPeYgImbMSE75hOurIUFBTaHe8zXzNjfWNjYxgbG8PQ0JAC6j3QzJkzUVxcjCtXrnBdSrvEYjGuXbuGsLAwREREICEhAQMHDsS0adMQGBgIf39/ucDp4cOHMW/ePEgkEigqKkIqlWL16tXYvHlzp51XKSkpwenTpxEREYHIyEiUlJRg4MCBcHd3Zztcubq6wsrKqlMe71Gam5uRmZkpF3hMSEhAXV0drKys4OvriylTpmDatGnU6YiQ7kehk65WW1vLrvSWbZ/JXNoKl7ScCFdXV4e+vn6rk/bMam9m9U97F+o0QbrL4zrttHUdcz3TTral9sIozMog2dVBpqamT9S5hhDgv8G8p6cnAODKlStQVVXluCJuiUQiCAQC3Lt3Dw8ePGDDJTk5OcjJycHDhw/ZD+BqamqwtLSEkZERzMzMYGJiAmNjY5iZmcHIyIgNNRgZGVGAjGNNTU1yoaCioiJ2fJKfn4+ioiI8fPgQ+fn57CohZWVldpKcCaJYWlpi8ODBGDZsGAYPHkwn10mnKy8vR0FBAfv3KbtqnZlULioqQnFxMbtSjqGurg5DQ8NWJ/07cqFjFHkcJpwte2mrW07L60tKSuQmrpWUlNjwiZGRETspzUxSMwEVc3NzmJiY9OiOBqRnSExMxOjRo3Hx4kX4+vpyUoNUKkV0dDT+/PNPnDp1Cjk5ObC0tISvry98fX3h7e3dLZPQT6KhoQHXrl3D5cuXERkZidjYWCgoKGDixImYMWMGZsyY8Uxb15SUlODll19GbGys3OIMRUVF/Pzzz3j99dcRGxvLdjR5+PAhrK2tERAQgKCgIPD5/F4TUEtLS8Ps2bORlZWFDRs24L333uuxY8SmpiYUFRUhLy8PhYWFyM3NRWFhIduZ5MGDBygsLGw1xuDxeGhqaoKSkhKsra1hY2MDW1tbuXCFpaVlvxtPNDY2QllZGRKJBNnZ2cjMzJQL5GRkZODBgwcA/uuQ4uzsDCcnJzg5OcHV1RUjRozod/9m/cGBAwewcOHCDneKVlJSgkQiQUBAAKZNmwahUNgqWFJUVISioqJWXbk1NTVhaGgIfX39x4YCZL9mugcR0hYmfMKM9R8VapId88suvgL+6z5jYmLCjvVNTEzYsT7zOcDU1BTm5uYUXuomoaGhmD59OgQCQY8bm7YnIyMDp06dwqlTp3D9+nVoamri+eefx4wZM+Dv74+goCBERETIHXMVFRUxadIkHD169Kk79ZSWluL48eM4ceIELl++jAEDBsDb2xsTJ07ExIkT4ezs3GPew0UiEeLi4vDvv//i4sWLiI2NBY/Hw9SpUxEUFITp06fTa4yQ7kGhk6fR2NiIsrIyVFRU4OHDhygoKGD/K/uzgoKCVm3wVVVVW01ym5mZwdTUtM0JcDMzM2rhRvqViooK9rXU8iL7OmMuxcXFcoOqAQMGsB8imdeW7GtM9mf02iIA8OWXX+KLL75AYmIi7O3tuS6n2xQUFCA9PZ1tOy4QCJCWlsa2RAT+a0HKvF5kW58zP7OysuoxHzBI56moqGD/JpgxDvN9VlYWO7bh8XiwsLBg/y7s7e3h4OAAa2tr+tsgrTDjZ9mxs+zfGLN6tuVKROY41NaYua3vCemJGhoa2vy82NYYt6ioSG4Rgl+4acUAACAASURBVOx7ccv/Mu/JJiYmdMztx+bMmYObN28iOTm520MKhYWF+OOPP7B//36kpqb22tAE8N8JpvDwcISGhuL06dNobGzE9OnTMWfOHPj7+z9RiCI6Ohovvvgiuw2ALCUlJYwYMQL5+fmoqKiAq6srG3IZMWJEZz+tLiWVSrFv3z4sX74co0aNwuHDh2FjY8N1WU+suroa169fR1RUFKKjoxETE4P6+npoaGjA3NycDQr6+/vjjTfeaLWdDXm06upqJCcnIz09HWlpaUhISEBiYiIaGhqgpaUFR0dHeHl5gc/nw8vLi+Zp+oAlS5Zg//79j93yhOkA1ZK2tjbMzc0fO/43Nzfv1O5UhDyrhoaGx471ma9LSkrkQqmqqqptjvNlf0YLf55dU1MTTE1NsWbNGqxatYrrcp5Yfn4+Tp8+jVOnTuHy5ctQUlJqt1sbj8eDqakpwsLCMGrUqA4/RkJCAvbu3YvDhw8DAJ577jkEBQXhpZde6jWBvfLycoSFheH48eO4cOECVFVV8dprr2HRokVwdnbmujxC+jIKnbRUW1vLbhcgu9KBaR1ZUFCAqqoqud/R1dWFqakpDA0NYWZmxrZRMzU1ZbsvGBsbw8DAgFaqEdLJxGIxysrK2BX8zOoHZoU087Pi4mKUlJTI/a6GhgbMzMwwaNAgWFhYsO1vzc3NMXjwYPZDLum77ty5AxcXF3zxxRdYvXo11+V0ifz8fKSkpODWrVtITk5Gamoq7t69y24ToK+vD1tbW/bCrNQbNmwYtSEkbSovL8e9e/eQmZmJu3fvyq1kZPZl1tTUhJ2dHZycnDBq1Cg4OjrCycmpV7YUJx1TW1uL+/fvIzs7m73cv38f9+/fR15eHkpLS9nbKikpwdjYmO3kYGFhwa7wYt6XmclkQvqbxsZGlJSUIDc3Fw8fPmQ/gzLBrIcPHyI3N1duFf6AAQPYieghQ4bAysoKQ4YMYb82MzOjUEofVVpaCnNzc+zatQtvv/12tz3urVu3sHnzZpw8eRJaWlqYPXs2FixYAEdHx26roSvV1dXh2LFj2L9/P2JiYmBtbY0VK1bg7bfffmxXxL1792LJkiWQSqXtrvJXUlLCunXrMGfOnF6zyralwsJCvPnmm7h06RJCQkLwySef9JoTYXV1dYiMjMT58+cRERGBO3fuQEFBASNGjMC4cePA5/Mxbtw4DB8+vFcFp3qTpqYmpKSkICYmBrGxsYiOjkZOTg6UlJTg4uKCSZMmYcqUKfD09KStvXswsViM3NxcufF/dnY2zpw506pbkKwBAwZAX1+fPbFuZ2cHV1dXuLu7U4ic9BsSiYSdt87Ly0N+fj4ePnyIBw8eyH0GqKioYH9HRUWFXQDWcszPhFTofevxgoODkZSUhPj4eK5LeSbl5eVYvXo1Dh061OYWwsB/HYwVFRWxd+9ezJ07t937am5uxtGjR/Hll18iPT0dHh4eWLhwIV599dVe3yGktLQUP/30E/bu3YvMzExMmDABa9euxeTJk7kujZC+qH+FTqRSKfLz85GVlcVuF8CESXJycpCXlyfXmURDQ4M98czsx8qsJGO2EjAyMur3WzEQ0lu03F6ipKSEHdg/yXGACagMHToUFhYWPX5/bdK+oKAgdh/I3jJJ2p7m5makpaXhxo0bSElJQXJyMm7duoWysjIAgIWFBRwdHeHo6IgRI0awARMKAZDOVFhYyAZR0tPTkZycjOTkZDb0Z25uLhdCGT16NGxtbTmumnSERCLBgwcPcPfuXQgEAjZgwgRLZIOdRkZGsLKyYifBzM3N5YIlxsbGvf6YSwjXampq2Mlo2bEs89rMyclhVxirqKjIBVKY1yazPURvWbFGWvv666+xceNG5Ofnd0v3hbi4OGzcuBFnz56Fo6MjVq5ciZkzZ/bpOZH09HTs2rULBw8ehK6uLpYvX44lS5a0+vcWCoVYtGgRfvrpp8fep5KSEvbs2YMFCxZ0UdVd69q1a5g5cybU1NRw5MgRuLu7c13SY6WlpSEsLAznz59HdHQ0mpqa4OzsjMmTJ2P8+PHw9PSksCvHCgoKEBMTg0uXLuHChQvIzMyEpqYmJk6ciClTpiAgIACWlpZcl9nvVFdXIyMjAxkZGa3CJbm5uWynBnV1dXacceHCBairq8Pc3Bw2NjZwcHCAq6sr7O3tMWTIEAwYMIDjZ0VI71FfXy8XPM/Pz5db7JGTk8MuKhswYIBcEIW52NjYYPjw4X16vPYkzpw5gxkzZqCoqAgGBgZcl/NMJvw/9s47LIrr+//vpRcBURAQC9gQRFCKIqAgRQXsaOwxGpWYaNRY80ksiUk01qiJLfnG3iVGETBSVKRYIGCliEYBBRWULnXP74/82IC0XZzdYfG+nmefmGH2nPfM3Dlz7r1n7wwahKioqHqLTqoze/Zs/PLLLzWKOYVCIQ4fPozvv/8ejx49wuTJk7Fo0aIWuRoIESE8PBwbN27EX3/9BQcHB6xZswZDhw7lWxqD0ZJoeUUnZWVlyMjIqPG6gKpPcnIyCgsLAfw78Fa9qrr6kmVV/2bVoQzG+0lJSYnoF6XVXytR9f8NvV6i+qd79+7Q1tbm+WgY9XH37l1YW1vjjz/+wKhRo/iWIzGZmZmIjY1FXFwc4uLiEBUVhdevX0NFRQXdunWDra0tevXqBQsLC/Tv3x/t2rXjWzLjPeb169ei5bSrL61dUlICbW1t9O7dW7Ss9oABA+S+4y/PlJaWIjU1VfT6rXv37uH+/fs18uiqpX/Zs4/BaN5Uf13a25+0tDTRRJGurm6NV6RVvTKtZ8+erECsmWNhYQFXV1fs3LlTqn7S09OxfPlyHD9+HAMGDMD//vc/eHt7v1fjJVlZWdi6dSt27doFbW1trF+/HlOmTIFAIEB6ejpGjRqFO3fu1Fgqvz4UFBQwaNAgXLp0SQbKuWXv3r2YP38+PDw8cPjw4WZdqHHv3j2cOnUKp06dwv3796Gvrw9XV1d4eHjAx8cHxsbGfEtkNMA///yDkJAQhIaGIiQkBLm5ubCwsMD48eMxdepUdOvWjW+JLYqq/trbfYB//vkHRCQa+6rr9bvVX68qFApRUVHBVvpmMGRIQzn/kydPRCuvGRkZifL96rm/qanpe5XT5ebmQk9PDydPnsTYsWP5ltNksrKyYGxsLFbBCfBv0XP//v3h7+8PQ0NDXLt2DfPmzcPt27cxdepU/O9//3tvnq3Xr1/H2rVrERgYCB8fH/z000/vzbEzGFJGfotO0tLSkJiYiLt37yIpKQmpqal49OgRMjIyRIFWX18fXbt2FX26dOki+reRkRHPR8BgMOSZnJwcPHz4UPR59OiR6N9Pnz4V7WdoaCiKO+bm5jA3N4elpSVMTU3ZMuc8M2HCBKSmpiI2NlYuOlfJyckIDQ1FREQErl27hrS0NCgoKMDc3Bz9+/eHg4MDHBwcYGFhwSaIGHJBWVkZ4uPjcf36dVy/fh3Xrl3Do0ePIBAIYGZmhv79+2Pw4MHw8PBgkwJSoLi4GHfu3EFCQgJu3bqFpKQkJCcn49mzZwAgKmAzMzODmZkZevToIVolia2QxGDIPxUVFfjnn39E937VJykpSbRykZqaGnr06AEzMzNYWlrC2toaffr0QefOnXlWzwCAiIgIuLi4IC4uDjY2NlLxUVFRgfXr12PdunVo3749Nm3aJJfF2lzy4sULrFy5Ev/3f/8HOzs7zJgxA8uXL0dhYWG9r9OpCwUFBTx79gwGBgZSVMsdFRUV+PTTT/Hbb79h1apVWLVqVbPszz579gz/93//h2PHjiExMREdOnSAr68vxo8fjwEDBjRLzYzGKSsrQ2hoKE6dOoWzZ88iNzcX/fv3x9SpUzF16lTo6OjwLVFuyMrKQkJCgqgPkJKSguTkZNHrcPT09NCzZ0/07NkTZmZmon+bmpqycQYGQw4pKyvDgwcPRDl/UlKS6N/5+fkA/i1ANzMzg7m5OaysrNCnTx/06dMHrVu35lm99LC3t0f//v3x888/8y2lyWzfvh0LFy6EpNO7BgYG6N+/PwICAuDm5obt27fDwsJCSiqbN5cvX8b8+fPx4MEDLF++HCtXrmQr2jMY70bzLzqpXlxS/b9VD0VDQ0P06tWrRnFJ1YctE8xgMPigpKSkVkFKamoqEhMT8eTJEwCAuro6evbsKaosr/ov68jLhtzcXBgaGmLPnj0NvtOST7KyshAWFobQ0FCEhYUhPT0d2traGDRokKjAxN7enq0owGhRvHjxQlSEUvWO95KSEvTs2RMeHh5wd3fH4MGD2cCyhGRlZeHWrVtISEhAfHw8bt26hQcPHqCyshLa2tqwsrKChYUFevToIRpgNjExYZ1tBuM95fXr16JB6eTkZKSkpODWrVt49OgRiAi6urro06ePqAjF2toavXr1qrFUM0P6TJs2DUlJSVJ7H/2DBw8wdepU3LlzB9988w0WLFjAfrlejfj4eIwePRppaWlNtvHzzz/js88+41CVdCgqKsIHH3yAiIgIHD16FCNGjOBbUg2EQiFCQ0Oxe/duBAQEQFdXF5MnT2aFJi2UqgKUkydP4vTp0wCASZMm4ZNPPoGtrS3P6poPRISHDx8iPj4e8fHxokKTzMxMAECnTp1gbW1dq7ikbdu2PCtnMBiy4tmzZzWKURITE5GQkCAqQO/SpYuoAKVv377o06cPOnTowLNqbliwYIHox0/yiqOjI2JiYpr0XYFAAD8/P+zatYtjVfJHRUUFduzYga+//hpWVlY4evQoTE1N+ZbFYMgrzafopKKiAomJiYiNjcXNmzfx999/11lc8vYELfulJYPBkCcKCgqQmJiIe/fu1Sike/LkCYgIampqMDc3R58+fWBnZwd7e3tYWVmxd95yzO+//45PP/0Uz58/b1aT13FxcfD390dAQADu3r0LFRUVODg4wN3dHR4eHujXrx+bBGa8V7x58wZXr14VFWAlJCRAIBDA3t4eo0ePhq+vL1sC8y2Kiopw48YNREVFISYmBn///TeysrIAAB07dqwxUdynTx906dJFLlZ7YjAY/FNQUIBbt26JitgSEhJw9+5dlJSUQEVFBb169UK/fv3g6OgIJycndO3alW/JLZb8/HwYGhpi69at8PPz49z+0aNHMWfOHJiZmeHw4cMwNzfn3Ie8U1ZWhidPnmDPnj3Ytm0bbG1tsW7dOrEKwt+8eYOSkhLRMvfNmVevXmHEiBFISkpCQEAAHB0d+ZYkoqysDL///js2bdqEhw8fYtCgQfDz84Ovry/rP78n5OXl4dChQ9i9ezfu3bsHe3t7/O9//8OoUaPeu/w2JycH0dHRiIyMRExMDBISElBQUABFRUX07NmzxsRx37592Xg6g8Gol6dPn9YoVouPj8ejR48A/Lsakq2tLRwdHeHs7Iz+/ftDU1OTZ8WSs2fPHixbtgy5ubly+7zIzc0Va5UTVVVVaGhoYNu2bViyZAk8PT2xf/9+9hr2t7h//z4mTZqEJ0+e4NChQ82uyJrBkBP4KToRCoVISUlBbGys6BMfH4/i4mKoq6ujb9++sLGxgaWlJSsuYTAY7wUFBQVISkrC3bt3cf/+fcTFxeHvv/9GXl4elJWVYWVlBTs7O9HH0tKSFR+8A1XLgp89e5ZXHUSE69evw9/fH/7+/vjnn39gYmKC0aNHY8iQIRg0aJBcdt4YDGmRk5OD8PBw/PXXXzh79iyys7NhbW0NX19f+Pr6vpdLgj59+hRRUVGIjo5GVFQUEhISUFFRgU6dOsHJyQm2traiAWaWTzMYDK6pqKhAcnKyaFA6JiYGsbGxKC0thaGhoagAxdHREba2tmw1FI74/fffMXfuXGRmZnIa24kI3333HVavXo0FCxbgxx9/ZKubiEFsbCx8fX2hoaGBwMBAdOnShW9JnJCeng53d3dUVlbiwoUL6N69O9+SAPxXbLJu3To8f/4cM2bMwLx585p9AQ9Duly9ehU//fQTzpw5AysrK6xevRqjR4+W28nExnj48CGioqIQGRmJqKgoJCYmAgAsLCxEz9y+ffuid+/eUFdX51ktg8GQd/Ly8kT5fmxsLCIjI/H48WMoKSmhb9++cHJygrOzM5ycnGBoaMi33Ea5evUqBg0ahPT09Bazekt9CIVCLFmyBNu2bcMPP/yAZcuWtdhn47tSUlKC+fPnY9++fdi5cyfmzJnDtyQGQ96QTdFJRUUFbty4gfDwcFy+fBk3b95Efn4+VFRUYGVlBXt7e9FEqoWFBZtIZTAYDPw76FtXgV5RUZGoQM/FxQVubm5wcnJiAwkSYGRkhCVLlmDx4sW8+H/8+DH27t2LQ4cOISMjAz169MDYsWPh6+sLOzs7XjQxGPJGZWUlrly5An9/f5w5cwaZmZkwNzfHzJkzMWPGjBa7NHReXh5CQkIQHByMsLAwPHnyBEpKSrC2thZN7Do5ObX4gRMGg9F8KS0tRVxcXI1fXL948QLq6uro168fvLy84OXlBSsrK76lyi1ubm5o06aN6NUSXEBE8PPzw759+/Dzzz9LZQWVlkxmZiZGjBiBtLQ0hIaGyn37Tk9Px+DBg6Guro6QkJBmM4F06tQpLFmyBM+fP8esWbOwYsUKlvMwanD79m18++23OHPmDKytrfHzzz83qxV6msqrV69w4cIFnD9/HpcvX0ZmZibU1NRgZ2cnmuh1dHRkReYMBkNmPH36VFT4FhkZidu3b6OyshJdu3aFh4cHfHx84O7uDg0NDb6l1iI7Oxv6+voIDQ2Fu7s733KkhlAoxPTp03Hq1CkcOHAAEyZM4FuSXLB27VqsXr0aP/zwA1asWMG3HAZDnpBO0YlQKMStW7cQHh6O8PBwREREoLCwEB06dICbmxsGDBgAOzs7WFlZsV/NMBgMhgRUVlaKXkV2/fp1hIeHIyUlBaqqqhgwYAAGDx4MNzc39O/fn/2StB7S09PRqVMnXL58GS4uLjLzKxQKERwcjF27diE4OBhGRkaYOXMmxo8fj969e8tMB4PREhEKhYiOjsaJEydw6NAhlJaW4oMPPsAnn3yCAQMG8C3vnbl//z4CAwMRHByMyMhICIVCODg4YOjQoXB2dka/fv3YqkgMBqNZk5KSgujoaFy+fBkXLlzA8+fP0bFjR3h5ecHb2xseHh4sjonJ06dP0blzZ/j7+4tW7+OCpUuXYvv27fjjjz/g4+PDmd33iaKiIowcORKJiYmIjIyU2xVPqgpOlJWVcenSpWZRcJKWlobPPvsMgYGBmDFjBr755htWbMJokDt37mDp0qUICQmBn58f1q1b16xerSsOd+7cQWBgIAIDAxETEwMFBQUMHDgQQ4cOhZOTE+zs7NirpBgMRrOhoKAAMTExiIyMRHBwMOLi4qCmpgZXV1cMHz4cPj4+6Ny5M98yAfxbbK2qqooDBw5g0qRJfMuRGl988QV27tyJ8+fPw8PDg285csXOnTsxb948/Pbbb5g5cybfchgMeYG7opNXr17h/PnzCAgIwKVLl5CTkwN9fX24urrCzc0Nbm5u6NGjBxeuGAwGg1GNjIwMUZFfeHg40tPToampiYEDB2LEiBEYOXIkG5CrRlhYGDw8PJCdnS2TlRDKysqwd+9ebN68GU+ePIGbmxs+/fRTjBw5kq3sxWBIgaKiIhw9ehS7du1CfHw8+vTpg6VLl2LixIlQUFDgW55YEBGuXbuG48eP49y5c3j8+DH09PQwbNgweHt7Y+jQoexXjAwGQ24RCoX4+++/ERgYiKCgIMTGxkJZWRkuLi4YP348fH19oaury7fMZsuPP/6IDRs24NmzZ5xNNm7duhVLlizB4cOHW/TAuywoKCiAm5sbXr9+jevXr8vdymtZWVlwdnaGuro6wsLC0K5dO74l4bfffsOiRYtgbGyMPXv2yPSHAwz55+jRo1i0aBGUlJSwf/9+eHp68i2pQa5fv46jR4/i7NmzePLkCdq1awdvb2/4+PhgyJAh0NbW5lsig8FgiEVWVhaCgoIQGBiIkJAQFBQUwNLSEmPGjMHUqVN5nys0MDDAypUrMW/ePF51SIsdO3Zg4cKFOHr0KFvhpImsWrUK69atQ1BQULPPHxiMZkIQ6B149eoV7dq1i9zc3EhJSYlUVFRo2LBhtGXLFkpISCChUPgu5qWKpqYmAaj1EQgEpKenR6NGjaIbN27wLVOuqe8cAyB1dXWysrKizZs3U0VFhdS1bNy4UeTb2NhY6v64pqFzqaqqSr1796aff/65Wd9zDNmRkpJCu3fvpnHjxlGrVq1IIBCQvb09bdiwgTIyMviWxzvHjx8nRUVFqqyslKofoVBIx44do65du5KamhrNnz+fkpKSpOqzLlgslg43btyg6dOnk4mJCampqZGuri716tWLxo4dSzt37qTU1FQiIjpz5kyNc/7mzRuelb9fxMTE0OTJk0lRUZHMzc3J39+fb0kNkpaWRqtWraIuXboQADI3N6evv/6aYmJipB6zJCE9Pb3OmHLmzJka+3311Ve19klMTJSqtpYUZ7jk2LFjNXJHSRE35smK48ePk7W1NampqYmO686dOzLVICnveg1aMs+fP6cDBw7QuHHjSE1NjVRVVWn06NEUEBDQrGJfc8Ha2po++eQTzuzFxsaSsrIy/fjjj5zYk5fcR5rPixcvXlDHjh3J19eXU7vSJi8vj/r06UM9evSg58+f8y2HysvLaf78+SQQCGjFihVUUlIiNV919Zk2btwoNX+SIOnzw9raut7+X12ftWvXyuAo+CUnJ4cmTpxISkpKtH37dr7l1CIzM5PWrl1L3bt3JwDUs2dP+vrrr+natWvsOSgGfOT/8piLyhrWL2NUp7S0lEJCQmjBggXUvn17AkD9+vWjnTt3Un5+Pi+azM3NafXq1bz4ljZ3794lVVXV9+IZTyS9eCMUCmnixInUvn17evXqFWd2GYwWTKDERSdCoZCCg4PJ19eXVFVVSV1dnT744AM6fvw45eXlSUOk1IiPjycANGrUKNG23Nxc+uOPP6hdu3akrKxMISEhPCr8j4KCAurWrRv5+PjwLUUi6jrH+fn5dOXKFbKysiIAtGjRIpnpsba2FuvB0xzPd13nsrS0lOLj48nJyYkA0NKlS3lUKD2a4/WQF968eUMBAQH08ccfk66uLikqKpKnpycdO3aMysrK+JbHCzt37qS2bdtK1UdERATZ2tqSgoICTZ8+nZ48eSJVf43BYjF3VFZW0pIlS0hJSYmWLl1KiYmJVFJSQllZWXTx4kXy8PAQdXTKy8tF3xs1alSznnhp6SQlJdHkyZNJIBCQm5sbLwVgDXHlyhUaPXo0KSoqkoGBAS1evJj+/vtvvmU1StUkyPLlyxvcz8XFhX799VcZqfoXcePM+4a7u7tEBQ9NjXnSJDIykgQCAS1dupQKCgooNTWVOnToIDcD/ZJeg/eNvLw82rdvH7m5uZFAICATExNat26d3I01SIuUlBQCQJcuXeLEXnFxMfXs2ZPc3d05n9iUl9xHWs+LsLAwUlBQoP3793NuWxqUlpaSp6cntW/fnh49esS3HMrLyyNPT0/S0NCgU6dOycRnXX2m5oS4zw9ra+ta58zPz48AUHBwcI3tEyZMoLVr1zbLfpc0WL9+PSkoKJCfn59MfnTRGLGxsTRp0iRSUVEhPT09WrhwId28eZNvWXKLrPJ/ec9FxYWruMD6ZYy3qaiooJCQEJo+fTqpq6uTtrY2zZs3T+b5h52dXYucSykvLycbGxsaMGBAs3jWyRJpxJtXr15R+/btaerUqZzaZTBaKIFirzFeWlqK3bt3w8LCAl5eXsjOzsauXbuQlZWFEydOYMKECS1iiT8dHR2MGTMGW7ZsQXl5ORYuXMi3JAD/LrMuFAohFAr5lvLOaGlpYdCgQdi9ezcAYM+ePSgvL+dZVU3k5XyrqKigT58+OHbsGBQUFLB161a8evWqyfZatWoFZ2dnDhVy41terkdzRE1NDcOHD8dvv/2GzMxMHD9+HOrq6pg6dSpMTU2xbt065OXl8S1TpgiFQqm9YqOsrAxLly6Fq6sr2rVrh1u3bmH//v3o1KmTVPy9CywWN42VK1di06ZN2LlzJzZs2ICePXtCVVUVBgYG8PT0xIULF+Dl5cW3TMZbmJmZ4ciRI4iKikJubi5sbGywa9cuvmXhypUrcHV1hYuLC7Kzs3H48GGkpaVh06ZN6Nu3L9/yGIxmGfNOnToFIsKCBQvQqlUrdO3aFenp6bC0tJSpDoZ00NbWxkcffYSwsDAkJiZizJgxWL9+PUxMTLBmzRrk5+fzLZFXTp06BT09Pc76bLt27UJGRgb2798vN6+gA/jtt4qLm5sbPvvsM3z55ZcoKSnhW06DEBFmzJiBGzduIDg4GKamprzqefPmDUaMGIG7d+8iMjIS48aN41XP+0Bz7HdJg+XLl+PMmTM4ePAg/Pz8QNy8cV5i4uPjMWLECNjb2yMlJQV79+5Feno6tm7dCjs7O140SQKXMVge4vnbvC+56PsSF5o78niPNIaioiI8PDywf/9+PH36FKtWrUJQUBDMzMwwe/ZspKeny0RHZWVli3zt+dGjR3Hnzh3s378fioqKfMuRe3R1dbFz504cOXIE8fHxfMthMJo9jY4qEBGOHDkCc3NzLFq0CE5OTrh9+zYuX76MGTNmtIhCk7oYPHgwAODevXvIzc3lWc2/k4MPHz5EUFAQ31I4w8zMDABQXFzc7Ca95e18d+zYEUZGRqioqMCtW7f4lsM58nY9miuqqqoYN24czp49i4cPH2LSpEn48ccf0a1bN2zduhVlZWV8S5QJmpqaKC4u5txubm4uvLy8sHv3bvz6668ICgqSi0EHFovFJykpCevXr4etrS1mz55d5z6KiopYuXKljJUxxGXAgAG4du0aFi9ejPnz52POnDm8FFtlZmZi8uTJcHV1hbKyMiIiInD1ll7SpAAAIABJREFU6lVMnDgRKioqMtfDYNRFc415VYOQbdu2lalfhuwxMzPDli1b8PjxYyxcuBDbt2+Hubk5Tpw4wbc03vD394evry8nA+QlJSXYvHkz5s6diw4dOnCgjvE2X331FfLy8vDbb7/xLaVB1q9fj5MnT+LUqVOwsrLiWw4+/fRT3L17FyEhIawItwkkJCSIXahz/PhxfP31182u3yVNRo4ciVOnTuHAgQP46aefZOo7Pz8fCxYsgL29PV68eIHz588jNjYW06dPh5qamky1MJrO+5KLvk9xgcEfurq6WLx4MZKTk7Fnzx6Eh4fD3NwcmzZtQkVFhVR9t8SiEyLChg0bMHnyZPTo0YNvOS2GUaNGwcbGBuvXr+dbCoPR7Gmw6CQrKwvDhw/Hhx9+CDs7OyQmJuK3335D7969ZaWPN6pXuwsEAh6VtFySk5MBAPr6+tDT0+NZjfxT1WZZR5UhDp07d8bGjRuRnp6Ozz77DF999RVsbGzei4rdVq1aobi4mNPOS3FxMby9vZGUlIQrV65g5syZnNmWNiwWi8/evXshFAoxfvz4BvcbMGAAiKjFdV5bCsrKyvj2228RGBiIEydO4MMPP5Tpr7cuX76Mvn374urVqzh9+jRCQkIwcOBAmflnMMSluca8yspKmfhhNB9at26NVatW4eHDhxg3bhwmT56MKVOmoKioiG9pMuWff/5BfHw8fH19ObF38uRJ5OTk4IsvvuDEHqM2BgYG+Pjjj7Ft2za+pdTLhQsXsHLlSmzevBmenp58y8Gff/6JAwcO4MCBA+jVqxffchgtFB8fH3z77bdYsWIFkpKSZOIzKSkJDg4OOHToEDZv3oyYmBh4e3vLxDeDW1guymBwj5KSEmbMmIGkpCR8//33WLNmDVxdXZGZmSk1n5WVlS1uJZCwsDDcu3cPy5Yt41tKi2Pp0qU4ffo0nj17xrcUBqNZU2/RSWxsLHr16oVHjx7h2rVrOHnyJExMTGQojV8uX74MAOjVqxd0dHTw559/QiAQiD7Jycn44IMP0LZtW9G27OxsAMDLly/x+eefw8TEBCoqKtDX18fYsWORkJAA4N9fw1e3JRAI8N133wEAKioqamwfN25cLd9vL81aNVDUtWtXqKioQFdXF15eXrh06ZJon++++070/epLsl24cEG0/e3JxtLSUqxatQo9e/aEhoYG2rRpgxEjRuDcuXPvlGAXFhbi6tWr+OSTT6ChoSF6tYOkx9SUfd/m8OHDta7F7t276zzfb1+Hx48fY8KECWjdujXatm2L4cOH4+HDh7V8JCUlYfTo0dDR0YGGhgb69euH8+fPw8PDQ2Rr1qxZTTiT/5GWlobMzExoa2vXGphprD0CwKZNmyAQCFBUVISoqCiRrrcnD8SxJel5asw3F+2/KddOWu2/uaGlpYU1a9bg3r17aNOmDQYMGIAzZ87wLUuqdOzYEUTE6XKNH374IR49eoSIiAjY2NhwZleasFgseSyOiIgAgHf6BWhWVlajeisqKnDixAl4enrC0NAQ6urq6N27N7Zt21ajOEJW50Kc2A/IX9wcOnQo/vzzT5w5cwZr166Vic/Dhw/Dw8MDHh4eSEpK4mziUN5oatttSpxJSkqCj4+PqL0PHjwYUVFRNfaRpO02JReqq98gSV9AEt/Vj7vqPtfU1MTAgQMRGRkp3gX6/7xLzJNGfla1/9mzZwEA6urqEAgEcHBwkMivpP0iLmKtONeAq7aVnZ0td/FYXHR1dbFt2zYEBwfj4sWLcHNzQ2FhId+yZIa/vz/atGkDV1dXTuwFBARg8ODBMDQ05MRefYiT+wDi3b9c9ltlxaRJk5Camioq9G5OJCUlYeLEiZg6dSo+//xzvuWgsrISS5YswZQpUzB8+HC+5TSKuO1M3Ny+Ci6e4ZJQ35jL29ufPHmCCRMmQEtLC23btsW0adPw+vVrPH78GCNGjICWlhaMjIwwe/ZsFBQU1PLTnO5LAFi2bBl69eqFFStWSN3XtWvXYGdnh3bt2iExMRELFiyQq1eaVSFuDOYqnkt677wLkuSuDeWijSFOjlZ1bgQCATp06ICbN2/C3d0dWlpa9fZnAMnuserHq6qqig4dOohed/LmzZsGx2JlcV24nIepjrhjIU2ZR5FEiyTtoKF7pCXm/MrKyliwYAGuX7+Oly9fwsHBQWqv28nOzkabNm2kYpsvqlbdtrCw4NQuXzmBLJ8DjTFy5Eioqqrir7/+kqlfBkPuoDpITEwkHR0d8vHxoeLi4rp2aRHEx8cTABo1apRoW15eHv3xxx/Url07UlZWppCQkBrfGTVqFAEgFxcXunTpEhUVFdG1a9dIUVGRXr58Sc+ePaPOnTuTgYEBBQYGUkFBAd29e5dcXFxITU2NoqOjRbaGDRtGCgoKlJqaWkvbgAED6OjRo3X6fvPmjWhbZmYmmZqakoGBAQUEBFBeXh4lJyfT2LFjSSAQ0K+//lrDhqamJjk5OdXyZ2trS23btq2xbdasWaSjo0MXL16k4uJiysrKoiVLlhAAunTpUuMnmP47x3V9zMzMyN/fv9Z3JDkmSY/f2tqajI2NRf9fUVFBX3zxBXl6etKrV69q7FvX+a6+fdSoURQdHU2FhYUUEhJC6urqZG9vX2PfBw8eUOvWrcnY2JguXrwoag8eHh6kr69PqqqqYp3H6ueyenstKyuj+Ph4cnJyIhUVFTp48GCN70jSHonqbx9NsSXJeWrMd3V779L+JdHERfuXNyorK2nevHmkrKxMf/31F99ypEZ2djYBqBXfm8q5c+dIIBBQeHg4J/akAYvF3MRiIyMjAkDXr18Xa//G9IaFhZG2tnYtvQEBAQSAfvjhB3r16hW9fPmStm/fTgoKCrRkyRKxbHN1LiSJ/fIaN7dt20YqKiqUnJwsVT+RkZGkrKxMy5cvl6ofWXLs2DEC0Ogxubi41IoDRJK13abEGR0dHRo8eDBFRkZSQUEB3bx5k6ysrEhFRYUuX74s2lfcttvUXKi+foMkfQFJfNd1n9++fZuGDBlCJiYmUo950szPqu//9nNBmv0iSXVKeg24blvyGo8l4cGDB2RoaEjDhw/nW4rMcHV1palTp3Jiq6KignR0dGj79u2c2KsLSXIfru5fIsnvp7fzUq6pqKggPT092rJli9R8NIWcnBzq1q0bOTo6UklJCd9yiIgoMDCQBAIBpaSk8OK/rjGX+pCknUmS23P1DH8bPz8/AkDBwcH17tNYv2vs2LEUGxtLhYWFdPDgQQJAXl5eNGrUKIqPj6eCggLavXs3AaBFixY1+XzJkj/++IMUFBTo8ePHUvORkZFBenp6NHLkSCovL5eaH1nSUAzmMp5L2i9uajxvau769r0iDpLkaNbW1qSpqUkDBgwQPUfr689Ico9VHa+hoSEFBARQfn4+ZWVl0dq1awkAbd26tcFjldV1qe6fi3mYpowLSdJfkNbYSUP3SEvP+V+9ekW9e/cmS0tLKi0t5dR2RUUFKSoq0smTJzm1yzcWFhZ13odcIeucQJbxRhyGDRtGEyZMkJp9BqMFEFhn0YmbmxvZ29tzHsybG3VNwgkEAmrbti2NHDmSbty4Ues7VYE1KCioTpvTp08nAHTkyJEa2zMzM0lVVZVsbW1F20JDQwkAffrppzX2jYyMpE6dOtXqjNSV6H300UcEgI4dO1Zj35KSEmrfvj2pq6tTVlaWaLskyZKpqSk5OjrW2rdHjx4SF51U77SXl5fTo0ePaPXq1SQQCGjs2LFUVlbWpGOS9PirP3hev35NQ4cOpQULFlBFRUUt7Y11uAMCAmpsHzduHAGgly9firaNHz+eANDp06dr7PvixQvS0NBoUtFJXZ8xY8bUOWEhSXskajiRldSWJOepMd/V7b1L+5dEExftXx4RCoU0ceJEMjU1bVIHWl5o06YN7dixgxNbQ4YMoREjRnBiS1qwWMxNLK6agK0rP2iM+vROnjy5lt6AgABydXWtZWPq1KmkrKxMeXl5Ytnm4lxIEvvlNW5WVlZSly5daPHixVL1Y29vT15eXiQUCqXqR5ZwVXQiTtttSpwBQDExMTX2v337NgEga2tr0TZx225Tc6H6+g2S9AUk8V3fff706VNSVVWVesyTZn5Wff+3nwvS7BdJqlPSa8B125LXeCwpUVFRJBAI6j0PLYn8/HxSUVGp1UaaSkZGBgGgyMhITuzVhSS5D1f3L5Hk95O0B6eJiNzd3cnPz0+qPiShoqKCvLy8qFOnTjXOK9/MmzevzmJDWSFJ0Ykk7UyS3J6rZ/jbcFF0EhgYWGN7r169CABduXKlxnZTU1MyMzOrsU3S+1JWlJWVUatWrWjPnj1S8zFnzhwyNTWloqIiqfmQNQ3FYC7juaT94qbG86bmrk0ZM5MkR6vqz8THx9fYXld/RpJ7rOp4T5w4UUvHsGHDxCo6kcV1qe6fi3mYpowLSdJfkNbYSUP3yPuQ8z9+/JjU1dU5G8Ot4tmzZwSArl69yqldPhEKhZz2F+pC1jmBLOONOKxYsYJsbGykZp/BaAHULjp5/vw5AWjRv3KvQpIOZRVVgTU7O7vOv+vo6JCCgkKtgEdEZGNjQwAoPT1dtK1v376koaFRw96oUaPq/BVMXYmejo4OAaD8/Pxa+0+bNo0A0IEDB0TbJEmW5s6dSwBo9uzZFBMTU+dkYGM0do6nTJlCAGjTpk1NOiZJj7/qwZOUlEQ9evQgLy+verU31uF+e3Bm0aJFBIBu3bol2qalpUUAqKCgoJZ9Gxubd17pJCMjgyZMmEAAaNmyZbW+I2l7bCiRldSWJOepMd/V7b1L+5dEExftX15JS0sjADV+NdHS8PT0pA8//JATW5qamvT7779zYktasFjMTSy2tbVtcMCjIerTu3Tp0jpjYl1s3LiRANT7i3dpnAtJYr88x81FixZR//79pWa/anLv7Q64vHPy5EkC0OgvaZydneuMk5K03abEGTU1tTqLfNq3b08A6NmzZ0Qkftttai5UX7+BSPy+gCS+G7rPe/fuLfWYJ838rPr+bz8XpNkvklSnpNeA67Ylz/FYUlxdXWnOnDl8y5A6/v7+pKCgQM+fP+fE3s2bNwkAPXz4kBN7dSFJ7sPV/VtlS5L7SRZFJ1OnTqWRI0dK1YckLFq0iDQ0NCguLo5vKTVwd3fn9X6WZIxQ0nZWF3Xl9lw9w9+Gi6KTt+OPp6cnAahVTOHs7ExaWlo1tnFxvqSFo6MjLViwQGr2DQwMakzitwQai8FcxfP6qK9f3NR43tTctSlFJ5LkaFUrndTF2/0ZSe6xho73bSQ5Vq6vS3X/XMzDNGVcSJL+grTGThq6R96XnH/mzJnk7u7Oqc2qXPjBgwec2uWTnJwcAkChoaFS89FccgJpxBtx2Lp1K7Vv315q9hmMFkBgrRdIZmRkAAC6dOny9p8Y1dDU1Ky1rbS0FHl5eRAKhdDR0an1rva///4bAPDgwQPRdxYvXozi4mLs3LkTAJCSkoKIiAjMmjWrUQ1V/tTU1KClpVXr7wYGBgD+fYdyU/jll19w8OBBPHr0CO7u7tDW1sawYcNw5syZJtmri0GDBgEAwsLCAEh2TE09/tevX2P06NHo0KEDgoODcfjw4SZp19HRqfH/KioqACB6n1xpaSkKCgqgpqaGVq1a1fq+rq5uk/xWx9jYGPv370fXrl2xceNGxMbGiv7WlPZYH+9iq7Hz1FTepf2Lo0kW7b+5YmxsDDU1Nam9M7M5YG9vj5s3b76znZKSEhQVFaFt27YcqOIPFovFw8XFBQBw+/btJmkFauutepd39fiTl5eHVatWoXfv3tDV1RXF2qVLlwIAiouLxbL9rudC0tgvz3FTT08POTk5UrOfmZkJAOjQoYPUfPBBVTvKz89vcL/c3Fxoa2vX+3dx2m5T4kzVO7/fpl27dgCAFy9eABCv7b5LLlRXv6EKcfoCkvhu7D6vOnZxaErMk3Z+Jg2/kvKusfbtayCNtiXP8VhSOnXqhGfPnvEtQ+oEBwejX79+Et3DDVFYWAgAdbZRrmks9+Hy/uWyD8wl2trajT4rZcXRo0exdetW7Ny5EzY2NnzLqUFRUZFM2uS7Imk7Eze35/IZLg3ezuUUFBSgqKgIDQ2NGtsVFRVrPLub631ZhZaWligmck1FRQWys7NbXB+gPrjOx5raL+ZTc2NImqO1bt26zu3V+zOS9hUaOl5xkMV1eZt3nYeR9hg9X2Mn70vO36lTJ9GYClfcvXsX6urqMDU15dQun8gyv5dVTsBHvGkIbW1tFBQUyNQngyFv1Co6MTc3h4qKCi5evMiHHrlGVVUVrVu3hpKSEsrLy0FEdX4GDx4s+s6ECRPQsWNH/PzzzygtLcXmzZsxe/ZssRI/VVVV6OjooKSkpM5g9/z5cwCAoaGhaJuCggLKyspq7Zubm1trm0AgwLRp0xAaGorc3Fz8+eefICKMHTsWW7ZsEeucNAYRAfjvASHJMTXl+AFASUkJoaGhOHv2LHr37o3Zs2dzMvn8NqqqqtDS0kJJSUmdHdiqiY53RU1NDT/88AOICCtWrKjhX9L2WNfETFNtSUp9vuujqddfEj3Sbv/NlcuXL6OkpAR9+vThW4rUcHBwQHJyMrKzs9/JjpqaGgwMDJCYmMiRMn5gsVg8/Pz8oKSkhNOnTze437Jly6CgoICkpCSJ9QLAiBEjsHbtWsyePRspKSkQCoUgImzduhXAf9dLUiQ9F5LGfnmOm4mJiTAxMZGafTMzMygqKiIyMlJqPvigR48eAIB79+7Vu09paSlSU1PRvXv3JvtpapzJy8ur015VW68arBWn7UorFxKnLyCJ78bu81evXomtrSkxT9r5WX1Iu18kqRZJroE02pY8x2NJqKioQFRUFCwtLfmWInUuXrwILy8vzuxVxb+XL19yZrOpNOX+5bPf2hSysrJEE5d8cvv2bcyePRtffPEFpk+fzrecWujp6XE2sStNJG1n4ub2XD7DmxPN9b6s4tmzZ1Ir6FFSUkL37t1bXB+goRjMVTwHpNcvflfN74KkOVpOTk6dx1m9PyNpX6Gh4xUHWVwXceCyj1TfuJC4/QVpjp00dI+8Lzn/1atX0atXL05t3rlzBxYWFlBUVOTULp/o6+sDaB75fX1IK4eSFc+fP+e9CJjBaO7UKjpRV1fHokWL8PXXX+P+/ft8aJJrxo4dKxr8epsff/wRnTp1QkVFhWibkpISFixYgBcvXmDz5s04fvw4Pv/8c7H9jRkzBgAQGBhYY3tpaSnCwsKgrq6OoUOHirYbGRnh6dOnNfbNyspCWlpaLdutW7cWTZgpKyvD09MTf/75JwQCQS1/TeXq1asA/l11oCnHJOnxA//+isHY2BitWrXCuXPn0KpVK4wePZrzilkAooHBCxcu1NielZWFlJQUzvyMHz8effv2RVhYGEJCQkTbJW2PGhoaNZJpMzMz7N27t0m2JKUh3/XRlOsvLrJo/82R58+fY+7cuRgxYkSLHsB3dXWFgoICLl269M62xowZg3379qG8vJwDZfzAYrF49OjRA6tXr0ZsbCx+//33OvdJTk7Gnj178MEHH6Bnz54Sa62srERUVBQMDQ3x+eefQ19fXzTI8ObNG4ntvY2k50KS2C+vcfPFixf4888/Re1YGmhpaWHGjBlYtWpVsx4AkJSuXbuiZ8+euHbtWr2/Tj158iT09fXf+ZnSlDhTWFiIW7du1dh2584dPHv2DNbW1jAyMgIgftuVRi4kbl9AEt/13efZ2dlITk4WW1tTY54087OGkGa/SFIkvQZcty15jceSsmnTJmRkZMDPz49vKVLl9u3bSEtL47TopGryrGqlW76R9P7ls9/aFJ4+fcp5sZ2kvH79GmPHjkX//v3x448/8qqlPvr164erV6++86qo0kRJSQlJSUlitzNJc3uunuHNjeZ4XwL/Tszdu3cP/fr1k5qPefPmYc+ePbVyUnmmoRjMVTyXdr+4OrLMXSXN0UpKSmr9OKeu/owk91jV8QYFBdXat2/fvli0aFG9+mV5XcSBiz5SQ+NCkvQXpDV20tD99j7k/KdPn0ZYWBjmzZvHqd3bt2+jd+/enNrkG3V1dWhrazf7VSCllUPJgmfPnjWLQnIGo1lT10t3ioqKyMXFhdq1a0cRERF17dIikOR9rVU09i7D58+fU9euXalLly4UFBREubm5lJOTQ7t37yYNDQ06ceJEre/k5+eTjo4OCQQC+vDDDyXynZmZSaampmRgYEABAQGUn59PycnJNHbsWBIIBLR3794aNubNm0cAaMeOHVRQUECpqan0wQcfkLGxcZ3vInRxcaFbt25RSUkJPX/+nNasWUMA6LvvvhPrfNV1jsvLy+mff/6h1atXk0AgIGNjY9E7KCU9JkmPv673ul2+fJmUlZXJwcGBSkpKGjzfDW1fvnw5AaD4+HjRttTUVGrTpg0ZGxvTxYsXqaCggO7cuUPDhg2jzp07S/Q+3sbaa2BgIAEgGxsbEgqFRCR5exw2bBjp6OhQWloaRUdHk5KSEt2/f79JtiQ5T435rs+epNdfEk1ctH95IzExkczNzal79+709OlTvuVIHQcHB/Lz83tnO6mpqaSurk6rV69+d1FSgsVi7mIxEdGKFStIWVmZli9fTsnJyVRaWkoZGRn022+/kZGRETk7O1NhYWGT9bq5uREA2rBhA718+ZKKi4spPDycOnXqRAAoJCREZudCktgvj3FTKBSSr68vde7cuc53O3PJixcvqFu3bmRra0uZmZlS9SVLgoODSVlZmbp27Ur+/v6Uk5NDFRUV9PTpU/rll19IW1ubTp06Ved3JWm7TYkzmpqa5OzsTNeuXaPCwkK6efMmWVlZkYqKCl2+fFm0r7htl6tc6G3E6QtI4ruu+/zevXs0dOhQateundRjnjTzs4b2l2a/SFKdkl4DrtuWPMZjSdm5cycJBALatm0b31Kkzvr160lfX58qKys5tdutWzf68ssvObVZHWnGeC77rdJ+93teXh6pqKjQ0aNHpeajMSorK8nLy4s6duxIz58/501HYyQmJpJAIKDz58/z4l+cMUJFRUVKTEyUqJ1Jkttz/Qyvws/PjwBQcHBwvftI2u8aOnQoKSoq1rLj4uJCmpqaNbY1ZaxUFnz//ffUunXrWn03LikrKyM3Nzdq37493b17V2p+ZElDMZjLeC5pv7ip8Zyr3FUcJMnRrK2tSUdHh9zd3Sk6OrrB/owk91jV8RoZGdH58+cpPz+f0tPTae7cuWRgYEBPnjxp8FhldV3q81+dd+0jNTYuJEl/QVpjJw3dIy09579w4QKpq6vTZ599xqldoVBIenp6tGXLFk7tNgfc3Nxo6tSpUrMv65xAlvFGHKysrGjBggVSs89gtAAC6yw6ISIqLCyk0aNHk6KiIi1dupTy8/NlKUzqaGpqEoAaHzMzs3r3j4mJqbV/PTU7lJOTQ1988QV16dKFlJWVSV9fn4YMGVIrCFZn6dKlBIBu3bpV629nzpyp5XfKlCmiv2dnZ9PChQvJ1NSUlJWVSUdHh4YOHUphYWG1bOXm5tKsWbPIyMiI1NXVydnZmW7evEm2trYi28uXLyciooSEBPLz8yNzc3PS0NCgNm3akIODA/3666+iooaGqOscAyCBQEBaWlpkbW1Ny5Ytq3PQQ5JjEmffY8eO1dKxdevWOq9rXbqnTJlS575fffUVEVGt7T4+PiLfycnJNHr0aNLW1iYNDQ1ydHSkK1eukKurK2loaDR6Hus7lxMmTKi1n7Ozs+jvTk5ORCRZe0xKSqKBAweSpqYmdezYkX755ZcafxfHVlPPU32+uWj/TdH0ru1fnigrK6OtW7eShoYG9evXr0bhQUtm1apV1LlzZ05sVU18/P7775zY4xIWi/+Fi1hcnRs3btC0adOoY8eOpKysTFpaWuTg4EDbtm2j0tJS0X5N0fvy5Uvy8/MT2TYwMKCPPvqIVqxYIdrX1tZWZudC3OeIvMVNoVBIixcvJhUVFQoPD5eJz4cPH1L37t2pffv2FBoaKhOfsiAuLo6mTp1KJiYmpKqqSioqKtShQwcaP348RUVF1dq/qW1XnDizceNG0XeNjY3pxo0bNHjwYGrVqhWpq6uTi4sLRUZG1tAjSdttai5UX7+hiob6ApL4rqL6fa6urk729vZ0/vx5cnd3F+n5+OOPG9RUHXFjXhXSyM/qygkBUExMjER+qxC3X8RFrBXnGnDZtuQtHktCXl4ezZw5kwQCAX3//fd8y5EJLi4uNG3aNM7tLliwgKysrDi3K80YXwUX/dbqz4u3dXLJ6dOnSVFRkXJycji3LS5ffvklqamp0Y0bN3jTIC4jR44kS0tLKisrk6nf+vpMdX0SExOJSPznsri5fRVcPsP37dtX5zFUL7aub8ylvnv55s2btbavW7eOrl69Wmt79R9mNGWsVJpkZWVR69at6euvv5a6r7y8PBo4cCC1atWKDh8+LHV/0qaxGMxVPBf33uEinoujWZxctDEkydGqJk/v379PQ4cOJS0trXr7M0SS3WNvH6+RkRFNnDiRUlJS6j3WqrFYWVwXac3D1DcW4u7uXmfRiSTzKJJokaQdNHSPtNScv7y8nL777jtSVFSk6dOnU0VFBaf2b9++TQAoLi6OU7vNgQ0bNkilWJ2vnECWz4HGyMjIIIFA0GABL4PBaKDopIpff/2VWrduTe3ataPt27dTcXGxLIQxGC0eMzMz6tSpE98yGO8x5eXldOTIEeratSupqqrS6tWrqby8nG9ZMuPGjRuNTvBJwsqVK0kgENB3330n15279w0Wi//jfToXb968oWnTppGSkpLMf3mcm5tLvr6+BIAmT55M6enpMvXPYDAY8khlZSUdOnSIjIyMSE9Pj86dO8e3JJmQl5dHysrKUnlWRUREEACKjo7m3DbjPzw8PMjT05M3/0c2niCHAAAgAElEQVSPHm22xfF1kZqaSq1ataIvvviCbymMFkxlZSUNGTKETE1NpbrKSXXKyspowYIFJBAIaMiQIaLiJQajPqT9i33Gf9RXdMKQPVeuXCErKytSU1OT2oqGP/30E7Vu3ZrzYpbmQHJyMikoKJC/vz/fUloca9asoTZt2rD5cQajYQIV0AizZs3Cw4cPMW3aNCxbtgwdO3bE//73P6Snpzf2VQbjvScrKwtt2rRBeXl5je2PHz/Gw4cP4ebmxpMyxvvMq1evsGHDBnTt2hUffvghnJyckJycjDVr1kBJSYlveTLDzs4OxsbGCAgI4MTet99+i19++QVr1qzB0KFDkZGRwYldxrvDYvF/sHMBJCQkwN7eHgEBAQgMDMSkSZNk6l9HRwenT5/G2bNnER0djW7dumHu3Ll4/PixTHUwGAyGPFBRUYEjR46gd+/emD59OkaMGIHk5GSMGDGCb2kyISQkBEKhEEOGDOHc9sCBAzFw4ECsXbuWc9uMf7l27RpCQ0Px5Zdf8uI/Li4Os2bNwqJFizBjxgxeNEhK165dsWfPHmzduhU7duzgWw6jBUJEmDt3LiIiInDy5EloamrKxK+ysjJ++uknREZGIisrC5aWlpg2bRqSkpJk4p/BYDCaM5GRkfD09ISLiwuMjIxw584dfP7551LxdenSJbi4uEBRUVEq9vmkR48eGD16NL777jsQEd9yWgxFRUX4+eefMX/+fKirq/Mth8Fo1jRadAIAbdq0waZNm/DkyRN8/vnn2LdvH0xMTODp6YmDBw+isLBQ2joZDLnl9evX8PPzQ3p6OoqLi3Hjxg1MmDAB2traWLlyJd/yGO8JZWVlOHv2LHx9fdG+fXt8//33GDt2LFJSUnDgwAF07tyZb4kyRyAQwMvLi7OiEwCYO3cuoqOjkZaWBjMzM6xYsQJ5eXmc2Wc0HRaL/+N9PRe5ublYsWIF+vfvDy0tLcTGxkplEk9cRo4cieTkZGzbtg0XLlxAt27dMGrUKFy4cAFCoZA3XQwGg9EcePbsGb755huYmJhg+vTpsLGxwb1797Bnzx60adOGb3kyIzQ0FPb29mjbtq1U7K9cuRLBwcEIDg6Wiv33mYqKCixatAgDBw7E4MGDZe4/PT0dw4cPh6urKzZs2CBz/+/C5MmTsX79eixYsABr1qxhkyYMzigpKcG0adOwb98+nDx5EnZ2djLX4OjoiPj4eBw6dAhxcXGwsLDA0KFDce7cOVRWVspcD4PBYPDFmzdv8Pvvv8POzg4DBw5EWVkZwsLCROMj0qC0tBSXL1+Gu7u7VOw3B7788kskJCTgxIkTfEtpMXz//fcoLS2VWiEUg9GiaMr6KKWlpeTv70+jRo0iFRUVUldXp1GjRtG+ffsoOzub07VYGAx5JzQ0lMaMGUMmJiakoqJCBgYGNGXKFEpNTeVbGqOFU1hYSKdPn6YpU6ZQ69atSUFBgdzc3Gjfvn2Un5/Pt7xmwdmzZ0lBQYEyMzM5tVtaWkp79uwhfX19atu2La1fv57evHnDqQ+GZLBY/B/v27koKCig9evXk66uLrVt25Z++umnZreMallZGZ08eZIGDx5MAoGAOnbsSMuWLePs9V8MBoMhDxQUFNDBgwdp6NChpKioSPr6+rR8+XJ69OgR39J4w8LCgpYvXy5VH1OnTqV27dpRVlaWVP28b3zzzTekpqZGd+7ckbnv169fk6WlJVlaWlJeXp7M/XPFr7/+SioqKjRu3DgqKiriWw5Dznn58iUNHDiQdHV1KSQkhG85RPTva37OnTtHw4YNIwUFBWrfvj0tXryYEhIS+JbWIgDQ6Gf16tXNztfGjRtrfferr77iRGdzQJbXpTGOHTtWy/fHH38sE9/vK5WVlXTp0iWaOXMm6ejokKqqKk2ZMkVmr3s8d+4cCQQCevLkiUz88cWnn35Kbdu25Xy8+30kLi6OlJWVaffu3XxLYTDkgUAB0bv9ZCAnJwdnzpzBmTNnEBYWhsrKStja2sLNzQ1ubm5wdHSEhobGu7hgMBgMhhhUVFTgxo0bCA8Px6VLlxAdHY3y8nI4OTlhzJgx8PX1RceOHfmW2ax48+YN9PT0sGPHDsycOZNz+69fv8a6deuwY8cO6OnpYc6cOZg1axaMjIw498VgMGqSnJyM3bt348CBAxAKhVi4cCEWLVoEHR0dvqU1SFJSEg4fPoyjR4/in3/+QY8ePeDt7Q1vb28MGjQIqqqqfEtkMBgMzvjnn38QFBSEoKAgXLp0CZWVlfDy8sKUKVMwcuTI9zrmvXr1Cvr6+jh79iyGDx8uNT95eXmwsrJCz549cf78eSgrK0vN1/tCaGgovL29sWnTJpn/IrKsrAze3t5ITExEdHS03K9oefnyZYwbNw6GhobYu3cvHB0d+ZbEkEP8/f0xf/58aGlpISAgAD169OBbUi1SU1Nx6NAhHD58GI8ePUKPHj3g4+MDHx8fDBw4ECoqKnxLZDAYjCZRWFiIkJAQUc7/7Nkz2NjYYNq0aZg8eTLatWsnMy0ffvghHj58iKioKJn55IOioiJYW1vD1NQUQUFBLL9vIjk5ORgwYABMTEzw119/QSAQ8C2JwWjuBL1z0Ul18vPz8ddffyE8PBzh4eFISUmBqqoqHBwcREUo/fv3Z0GOwWAwOEAoFCIhIUFUZBIREYHCwkIYGxuLYq63t7dMk3d5xMfHB2pqavD395eaj/T0dOzYsQP79u1DXl4eRo8ejU8++QSDBw9mCSuDwSHl5eU4e/Ysdu3ahUuXLsHExARz5syBn58fdHV1+ZYnEUSEmJgYnDt3DkFBQbhz5w40NTXh4eEBLy8veHt7s0JCBoMhd5SVleHq1asIDg5GYGAgkpKSoK2tDU9PT3h5eWHMmDHv1etzGuLs2bMYM2YMsrOzpX5O4uLiMHjwYAwfPhyHDx+GgoJYb2Jm1MGNGzfg7u6O0aNH4+DBgzLN9YVCISZOnIi//voLERERsLa2lplvafL48WP4+fkhNDQUfn5+WLduXbMvImY0D9LS0jBv3jycP38eH330EbZs2YLWrVvzLatBqvoAZ8+eRWBgIO7duyd6Tvr4+MDb2xsGBgZ8y2QwGIwGSU1NRWBgIAIDAxEREYHy8nL069cPPj4+GDNmDHr16iVzTWVlZTA0NMSqVauwcOFCmfuXNfHx8XBxccHo0aNx4MABNv4sIcXFxfDw8EBWVhaioqLYD0gZDPHgtujkbZ4+fSoqQAkPD0daWho0NTVhZ2dX4yOtd7QxGAxGSyIjIwOxsbGiz40bN/D69Wu0a9cOrq6uGDx4MNzc3Jrlr3aaMzt37sTy5cuRnZ0t9V/TlpaW4tSpU9i9ezeioqLQvXt3jBs3Dr6+vrC1tZWqbwajpVJZWYmIiAj4+/vD398fL1++hLe3Nz755BMMGzasxUycpaenIygoCMHBwQgNDUVRUREsLCzg6OgIZ2dnDBgwgMV/BoPR7CgsLMT169cRFRWF6OhoREVFobCwEBYWFqJVnJydndkPU+pgyZIluHjxIm7fvi0Tf+Hh4fD29sakSZOwd+9edk2aQExMDEaMGAETExOcP38ehoaGMvNNRPDz88PBgwdx4cIFuLq6ysy3rDhy5Ai++OILKCoq4ssvv8Ts2bOhpqbGtyxGM+TVq1fYsmULtm3bBmNjY+zZswcuLi58y2oSjx8/Fk3cXrp0CWVlZbCysoKzszOcnJzg7OyMDh068C2TwWC85yQlJSE6OhpXr15FZGQkUlNT0bp1awwZMgQ+Pj7w8vKCvr4+rxrPnDmDcePG4fHjx+/ND3hCQkIwfPhwzJ49G9u3b28x42PSpqioCL6+voiLi0NkZCTMzMz4lsRgyAvSLTp5m4cPH+Ly5cu4fv06YmNjcffuXZSXl6N169aws7ODvb29qBClU6dOspLFYDAYzY4XL14gNjYWN2/eFBWZZGVlQUFBAWZmZqKY6erqCktLS1at/A6kpaWhc+fOCAkJgYeHh8z83r59GwcPHoS/vz8eP34MU1NTjB07Fr6+vnBwcGDXlMFogPLycoSHh8Pf3x9//vknXr58CWtra/j6+mL69OktPo8sLS1FREQEwsPDERUVhdjYWLx58wbt2rWDo6MjnJyc4OjoCFtb2/f61RQMBkP2ZGRkIDIyUlRgcvv2bVRUVMDU1FQ0OTZs2DC5f+WHLOjfvz/s7Ozwyy+/yMxnUFAQJkyYAAcHB5w+fZqtJiEBp06dwvTp0+Hq6oqrV6+irKwMw4YNw7Rp0zB8+HCpFkcQEebPn4+9e/fi9OnTGDlypNR88c2rV6+wdu1a7NmzB7q6uli+fDnmzJnDik8YAP5dBn/r1q3Yvn07VFVVsWTJEixcuLDF5MPFxcUICwvDpUuXEBUVhb///hsVFRXo3LlzjSKUXr16sYlFBoMhNcrLyxEXF4eoqChcvXoV0dHRePnyJTQ0NNCvXz84OzvDw8MDTk5OUFJS4luuiKofJQUFBfEtRab88ccfmDJlCnx8fHD48GGWMzXCixcvMHz4cDx58gRBQUHsR6IMhmTItujkbUpKSpCQkCCaUL158yaSk5NRWVkJPT099O7dG+bm5rC0tBT9V09Pjy+5DAaDwTl5eXm4f/8+7t27h8TERNy9exf3799HRkYGAKBr1641VoaytbWFlpYWz6pbHpaWlvD09MTWrVt58R8XF4fTp0/D398fDx48gJGRETw9PeHu7g4PDw+0b9+eF10MRnMiJSUFYWFhCA0NRXh4OHJzc2FnZwdfX1/4+vqie/fufEvkjbKyMsTFxSEmJkY02fv8+XOoqanB0tISffv2hbW1Nfr06QMrKyv2HGEwGO8MEeHRo0eIj4/HrVu3kJCQgISEBGRkZEBJSQl9+/YVFcE5OTmxXEZCiouLoauriwMHDmDixIky9R0fH4/hw4dDW1sbR48eRd++fWXqX94oKyvDmjVrsH79enz++efYvHkzysrKcP78edGqI5qamhg5ciTGjx8Pb29vKCoqcqph+fLl2Lx5M44cOYIJEyZwaru5kpmZiQ0bNmDPnj3Q0dHB7NmzMWvWrBZfeMyomzt37mD37t04dOgQVFVVsXjxYsybNw+tWrXiW5pUKSoqwo0bN0STvtHR0SgoKICOjg5sbGzQp08f9OnTB3379oW5uXmzmvxlMBjywZs3b3Dnzh0kJCQgPj4eCQkJuHXrluhHL1XFbk5OTrCxsWm2K+U9evQI3bt3xx9//PH/2LvzsCjL9Q/gXxYF2WTf95FNwA1yxR1MNFKPgtZRKlOw1Cg9iS0nJ22BrBStPJBZmZnCMcspK8EV3BJQ2RdZhn3fV9l+f3Te9zegmBs8zMz9ua65REL4YvLOM89zv/eNRYsWsY4z6C5cuIDFixfDwcEBP/zwA6ytrVlHGpL+/PNPrFixAkpKSvj9998hEAhYRyJE2rAtOrmbpqYmJCYmIjExkT+ITUtLQ11dHQBAX1+/VxGKk5MTnJ2dYWhoyDg5IYT0r66urldxCXdt44pL1NXV4eTkhNGjR2P06NEYP3483N3daab9IAkODsaxY8dw69Yt1lGQlJQEkUiEmJgYXL58Ge3t7XBycoKnpyfmzp2LWbNm0V2nRC6UlZXhzJkziImJwenTp1FQUABNTU3MnDkTnp6eWLRoEb1Qvodbt27h0qVLSExM5A+E6+rqoKCgAIFAwG9Cjx07FmPHjpWb9rKEkAfX2tqK1NTUXgUmSUlJaGxshJKSEuzt7fnCtkmTJmHixIlQU1NjHVuqnT59Gp6enigoKGByfS4qKsKqVatw6dIlvPvuu3j99dcfe6GELEhPT8fKlSuRmZmJ3bt3Y82aNXd8THV1NY4dO4aDBw/i4sWLMDMz4zuzTZgw4ZG+fnd3N1555RWEh4fj8OHD8PX1faTPJ41KS0uxd+9efP311zI7YpHcXVtbGz+69tKlS7C3t0dgYCDWrl0rtwXWXV1dSE5OxqVLl3D9+nVcv34dKSkpaG9vh4qKCl+Mzr0OoGJ0Qoik6urqXsUlN27cQGZmJjo7O6Gpqcmv993c3DBlyhSpGjmydetWfP/998jLy5PbArz09HQsX74cBQUFCA8Pl5tC5fvR3d2Njz76CO+88w5mz56NQ4cOMR8HRYiUGnpFJ/2pra3lD2m5X5OTk1FeXg4AUFVVhampKWxtbTF69Gg4OzvD1tYWtra2sLKyog0SQsiAq62tRW5ubr8PABg+fDhGjRoFZ2dn/lo1evRoODk50aYYQxcuXMDMmTORlZU1pLoltLa24uLFi4iJiUFMTAyuX7+O7u5u2NraYtq0aXBzc4OHhwfGjx9P/36IVOvs7ERmZiYuXryIuLg4JCQkID09HYqKihg3bhw8PT3h6emJGTNmYPjw4azjSq2SkhIkJCTw6+mEhARkZGSgu7sbKioqEAgE/Bqae45ydHSEuro66+iEkEEg+ZqbW7+mpqby3Ui5daybmxv/GD9+PF0jBoBQKMTBgwf51xAs9PT0YM+ePQgODoazszN2796N6dOnM8szlLS0tOCjjz5CaGgoXF1dcejQIdjb2//tn0tLS8OhQ4dw+PBhiMVijBs3DqtWrcLKlSsf+Eaqrq4urF27Ft9//z2+//57LFu27GG/HZnQ1dWFkydPYs+ePTh9+jT09PTg7e0NX19feHt7y+0Bk6xpb2/HqVOnEBUVhRMnTqCpqQne3t4ICgrC3LlzaUTtXXCvsyTX/1evXkVlZSUAQEdHp9c+Ove2tbU17TEQIqNKSkr49X7ftT/w/9cFyTW/NO9bt7S0wNraGuvXr8e2bdtYx2Gqra0N//rXv/DFF19g8eLF2LVrl9yPPU1ISMCGDRuQmJiIDz74AJs2baL1BCEPT3qKTvpTUlKC9PR05OTk3PFobGwE8Nchr7W1NQQCAf+wtbWFubk5zMzMYGRkxPi7IIRIg9raWhQVFaGgoABisfiOa05rayuAv4rg+l5vRo0aBUdHR1hZWdHCZQjq7OyEoaEh3nnnHbz66qus4/SrqqoKsbGxuHLlCq5cuYKEhAQ0NzdDS0sLTzzxBCZPnownnngCY8aMgbW1Nf1bI0NSZ2cnsrOzkZSUhKtXr+Lq1atITExEW1sbdHR0MHnyZEyaNAmTJ0/GtGnTZL4tNmv19fVISkpCeno6srKykJ6ejszMTOTn56OrqwuKioqwsrKCvb09HB0d4ejoCFtbW1hbW8PKygoqKiqsvwVCyAOoqKhAfn4+8vLykJ2djYyMDGRmZiIzM5N//aytrQ0HBwc4OjrCwcEBDg4OcHV1hUAgkNrNZmnDjVc8ePAg6yhITU3Fq6++itOnT2PFihV4//33YWNjwzoWE11dXTh06BDefPNNtLS0YNu2bdiwYcMDFzT09PQgNjYWhw4dQlRUFFpaWrB48WIEBARgzpw5f7uGb29vxzPPPINTp07hxx9/xLx58x7l25I52dnZ+OGHHxAVFYWUlBSYmppi6dKlWLx4MTw8PKiAWco0NTXh9OnTOHjwIGJiYtDU1IQpU6bA19cXy5cvh7GxMeuIUik/Px/Jycn82j8jIwMZGRmoqakBAGhqavJrAUdHR9jb28PGxgY2NjbQ09NjnJ4Q8ndKS0uRl5eHvLy8Xuv9zMxMtLe3AwBMTEzg5OTU62d97NixMndWtmfPHrzxxhvIy8ujaQn/c+rUKbzyyisoLCzE1q1bsWnTJrm7kaCiogLbtm1DREQEpk6dis8//xxjxoxhHYsQaSf9RSf3UlFRgdzc3LsWpJSVlfEfp6qqCnNzc5ibm8PCwgIWFhb825aWljAzM6MFNSEyrqGhAYWFhSgsLERRURFfXMK9LRaL0dLSwn+8np4ebG1texWXcA9TU1M67JdCy5YtQ3t7O0QiEeso962zsxMpKSl8EcrVq1eRmZmJnp4eaGlpwcXFBWPGjMHYsWPh6uoKV1dXaGlpsY5N5EhlZSWSkpKQlJSE5ORkJCUlITU1FW1tbVBWVoarqysmT57MF5rY29vT9XOIuH37Nn8gnZWVxW9EZ2Vl8WMvFRQUYGJiwm9AW1tb8w8bGxtYWFgM2ZnOhMiq6upq5Ofn84+8vLxeb3PrWSUlJVhbW8PBwQFOTk6wt7fn36bNWLY6Ojqgo6ODXbt2Ye3atazj8H7++We8/vrryMvLw4oVK7B161Y4OzuzjjUo2tvb8c0332Dnzp0Qi8VYs2YNduzYAX19/cfyuU+cOIGIiAicPn0aAoEAa9aswQsvvHDXn8XKykosWbIE6enpOHnyJCZNmvTIGWRZeno6IiMjERUVhdTUVKirq2PWrFmYN28ennzySakaDSAvuru7kZiYiFOnTuHUqVO4dOkSurq6oKWlhYaGBri5uWHp0qXw9PSEm5sb67gyp7Kyki9E4TqkZGZmQiwWo6urC8BfBSmS639bW1v+bRsbG7ppgJBBUFNTw6/zueISybfb2toAAMOGDeNvhOSKS7hCE3kY3d3R0QE7OzssXrwYu3fvZh1nSLl9+zZ27dqF9957DyNGjMCmTZuwfv16mR+7Vlpaip07dyI8PBwjR45EaGgoVq5cSXuRhDwesl10ci9tbW29DpYlD5rFYjGKi4v56m4AUFNTg6WlJYyMjGBqagpDQ0MYGxvDxMQEhoaG/PsMDQ1plA8hQ0RPTw8qKytRUVGB0tJSlJWVoaKiAiUlJaioqEBZWRlKS0tRWFiIhoYG/s9paGjA0tLyrgVo3NvyVv0rDz777DO8/fbbqK6ulurreFNTE1JSUviDfu6wnzsktrGx4e9Usre3h52dHezt7WFhYUF3L5OH0tHRgfz8fGRlZSEzMxPZ2dnIzs5GWloaSktLAQBGRkYYM2YM/3B1dcXo0aOpS4aUqqmp6fdAu++htpmZGf8camJiAgsLC5iYmMDc3BwmJiYwMzPDiBEjGH9HhEiH8vJylJaWoqioCCUlJSgpKUFhYSHKysr4TnxctxIFBQWYmpr2OgSSLAyjorCh68aNGxg/fjySk5Ph4uLCOk4vnZ2dOHLkCEJCQpCWloYFCxZg7dq1WLhwoUyOL8nPz8eBAwewf/9+1NTU4Pnnn8eWLVtga2s7IF8vJSUFERER+O6779DS0gJfX1+88sormDhxIoC/us74+PgAAH755ReMHj16QHLIqvz8fJw6dQp//PEHzpw5g7q6OlhaWmLmzJmYMmUKpk2bBmdnZ6l+LSiNbt++jYSEBFy+fBlxcXGIjY1FVVUVTExMMG/ePMybNw9eXl4AgHPnzkEkEuGXX35BbW0tbGxs4OXlBU9PT8yfP1/mD8pYun37NgoKCu56uJ2Xl4eKigr+Yw0MDGBlZQVTU1NYWlrya38zMzOYmprCwsKCClMIuYeamhp+nc/tW5eUlKC4uBiFhYUQi8Wor68H8Nea38zMjF/vc11JucIwMzMzuX5e279/P15++WXcunULlpaWrOMMSVVVVdi1axc+++wzKCsrY82aNQgICIBAIGAd7bGKj49HeHg4Dh06BF1dXWzZsgUBAQG0H0XI4yW/RSf3o6WlBWKxuFdxSnl5ea8D67KyMn6kBgAoKirC0NAQBgYGMDU1hZGREYyMjGBiYgI9Pb1eD319fejo6DD8DgmRPo2NjaiqqkJVVRWqq6v5B/ezWVlZ2avApLOzk/+zKioqd/xsmpqawszMDObm5nyhiTxUepM7paamwsXFBdeuXYO7uzvrOI+dWCxGcnIykpOT+W4FWVlZfIGlqqoq7Ozs+CIUgUAAKysrWFpawsrKCqqqqoy/A8JSY2MjCgoKkJ+fz48X4wpM8vLy0NHRAeCv9qxcQZOjoyNfZEJ3zcsXyfEd+fn5/OYYd1heXl7e6/lZT0+PL0gxNjaGhYUFjIyMYGxsDAMDA/5BnQeJLGpra+OLpMvLy1FVVYXy8nIUFxejuLgYJSUlKCoqQllZGW7fvs3/OS0tLZibm8PU1BSmpqYwNzeHlZUVX1RC46+k1/79+xEUFISGhoYhe0jQ3d2NEydO4PPPP8eZM2dgZGSE559/HsuXL8fYsWNZx3skDQ0N+PXXX/HNN98gJiYGhoaGeP7557Fx40aYmpoOSobW1lYcOXIEe/bswY0bNzB58mTMmjUL+/btg7OzM44fP05rq0fU2dmJP//8k++kceXKFTQ2NkJLSwuTJ0/GlClT4ObmhrFjx9Ih1WPU3d2NW7du4ebNm7h27RouXbqEhIQEtLW1wdDQEFOmTMH06dPh5eUFV1fXfu867urqwo0bNxATEwORSIRLly5BRUUFHh4e8PT0pC4oDDQ3NyM/Px+5ubnIy8uDWCy+47CcG+kB/NUtxcLCoteenImJCYyMjPh9dQMDg8fSUYqQoaCrqwtVVVX8ur+srAxVVVUoKipCaWkpCgoK+NfLkmdN3I3QksVbVlZWfFEJrfn719nZCScnJ8yaNQtffvkl6zhDXk1NDT7//HNERESgpKQEnp6eWL16NZ566impvfm2qqoKx44dw5dffomEhAS4uLhg/fr1eOGFF+jnhpCBQUUnj0NjYyNfiMIddldWVqK4uLhXcUp1dTXf2oyjpKR0RzGKZFGKvr4+//uRI0f2ehAizRobG1FfX88/JAtIqqurUVlZecf7ampqem22A8Dw4cOhp6cHAwMDmJmZwcDA4K5diIyNjaGrq8vouyXSoKenB8bGxtiyZQs2b97MOs6gqa6uRnZ2NjIzM5GVlYXs7GxkZWUhJycHTU1N/McZGRnB0tKSf3AHW1z3AiMjI5m8w1UetLe38wecXJGtWCxGfn4+CgoKUFBQgNraWv7jdXV1IRAI+OISyY45dHchuR/d3d0oKytDcXExv7HGbUqXlpaiuLiYXztLUlZW5jegDQ0NYWRkBH19fRgYGPAb1FxRt66uLnR0dDB8+HBG3yWRV/X19aitrUVtbS2qqqpQUVHBbzBzrxO5R3l5OVqg0QUAACAASURBVN+ZhKOqqgoDAwO+K5CZmRl/Z7C5uTlfmCWtG3/k77388su4efMmLl68yDrKfcnLy8OBAwfw7bfforCwELa2tliyZAkWLVqEyZMnS0VHneLiYpw8eRLHjx/HmTNn0NXVhSeffBJr1qzBwoULmX4P58+fx8aNG5GcnAw1NTUEBwdj/fr1VIj5mHV1dSE1NRUXL17ki1BycnLQ09MDHR0djB07ln+4urrC3t6expb+jcrKSmRmZiI5ORk3btzAzZs3kZKSgubmZigrK8PJyQlTp07F1KlTMWXKFNjZ2T3S1+rbBcXW1pYvQKEuKEMDd5OYZCGK5IF7eXk5Kisre/0ZyfW/sbExv97n9vm4whRu7a+rqztkCzaJbLl9+zZqampQW1uLmpoafm1fUVHBr/X7rv0lj+GUlZWhr69/R+EVV2DCvY/OgB7evn378OqrryI9PX3AutTJoq6uLvz6668IDw/HH3/8geHDh2P+/PlYtmwZ5s+fP+TPV4qKiiASiXDs2DGcO3cOKioqWLp0KQIDAzFt2jTW8QiRdVR0Mtiam5v5A3SuW0NNTc0dh+uSh+59NyI5Ojo6fAGKtrb2HUUp3Pu5x8iRI6GmpgY1NTVoa2tjxIgR1D6KPLDbt2+jubkZ9fX1aG1tRUtLC2pra1FXV9eriKS+vv6O99XV1fHv42bBSlJTU+u36Kq/oizaOCCP06JFi6CqqoqjR4+yjjIk1NTU8AUI3IMrQhCLxSgvL+c/VkFBgR8zZ2Zmxnf5MjY2hrGxMUxNTaGnpwddXV3o6elJxQGENGtra+OL9aqqqlBSUsIXlnBjxriiWMlxgoqKijAxMeHvkpcsNOLeR62QyWDp7OxEZWUl3/lBcgOP25SW3NC725pZXV29VxEK9+jv95qamlBXV4empia0tbVprq8camlpQXNzMxobG1FXV4fGxka+iITbWL7X77u7u3t9vmHDhvEHIpJ37+rr69/RzcfIyIjWtgSTJk3CpEmTsGfPHtZRHkhPTw+uXbuG48eP4/jx48jMzIS6ujo8PDwwa9YszJw5E+PGjRsSexBisRiXL1/G2bNnce7cOWRlZUFNTQ3z5s3DkiVL8NRTTw2JDfXa2lo8//zzOHnyJIKDg3H79m3s378ft2/fxpo1a7Bp0ybqwjGAGhoakJSUhJs3b/KPlJQUfoygkZFRr+JrOzs7CAQCmJuby0VRUE9PD8rKylBUVIScnBy+kyZ3EwM33lVbWxtjx47FmDFj+MIdFxeXAeukyXVB4QpQEhMTqQuKFOnq6uLX91wXuLsd4JeXl6O8vBzNzc13fA4tLa1eRSjcr3d7n5aWFrS1taGhoQENDQ0q6pUzDQ0NaGpqQlNTExobG3sVkfzdr3f7t6etrQ0jI6NehVJ9b5qQXPuTgdPU1AQ7Ozs888wz+PTTT1nHkVpVVVX46aef8N///pcvzB4/fjzmzp2LOXPmYNKkSdDW1maasbS0FJcvX8bp06dx+vRp/jXIwoULsWzZMixYsICu7YQMHio6kQa3b99GdXX1HQf6tbW1/R7u9/24e9HR0eELULS1taGmpoYRI0bwRSrc2+rq6hgxYgS0tLSgrKwMTU1NKCkpQUtLC4qKinzlLTcyiNuoHzlyJBQVFQf874mA/39dV1eHnp4eNDQ0oKurC42Njejs7ERTUxM6OjrQ0tKC9vZ2NDc3o7W1lV9kt7a2orGxEY2NjWhtbUVTUxMaGhrQ2trKF5r03UiXpKWldUfR092KoO7233V1dYfEBiSRb++99x6++uor5OXlsY4iFdra2viW/2VlZSgtLb2jsIE7KO5baKapqckXoHAPbiNIT08Pmpqa0NLSgpaWFr8BxB0Ca2hoyHz3Au4azB16Njc385shtbW1aGxs7FVUUlNTwxex1tTU8JvhnGHDhvEjxbiCIK4jlJmZGf+riYkJFQQRqdXe3o7KyspeRQD3UyhQW1vba9yPJHV1dX4DWkdHp9eGtLa2NjQ1NaGhoYGOjg5YWlpCVVWVL/JWUVGBhoYGhg0bxq+HdXR0+PUzeXhcEXRrayva2trQ3NyM27dv82vfuro6/tCisbERCgoKfAFJU1MTv67l1sDNzc1oaGi451pXQ0PjgQqYdHR0oKenR+NUyQPp7OyElpYW9u3bh+eee451nEeSnZ3NF3WcPXsWZWVlUFZWhoODA8aPH49x48bxIx1tbW0H5AC6pKQEubm5yMnJQUpKCq5fv47r16+jpqYGysrKeOKJJzB79mzMmjUL06ZNg5qa2mPP8LDi4+OxfPlytLe348iRI/Dw8ADw141M+/fvx6effoqioiIsWLAAQqGQDtEHSVdXF/Ly8vjCCq7IIjs7GwUFBfxzyIgRI2BhYQEzMzNYWFjw3askCw+5m2mG2tq7ra2NH2cs2a0rPz8f5eXlKCgoQFFREUpKSvhOtMOGDYONjQ3s7Ozg4ODAj221s7NjXhhFXVBkW2trK7/+f5CCgfr6+rt+PgUFhV5rfA0NDX6vk/s9tybk1vmS6/vhw4fz++eqqqp3vBYgD66jowNNTU1oa2vj96cl1/21tbXo6upCQ0MD2tra+L3s+vp6fg+F20eR/P29/g3crUCp71q/768GBgYyv08lTbZt24Y9e/bg1q1bclEIOhjq6upw7tw5nD59GmfOnEFaWhoAQCAQYMKECXBzc4ODgwNGjRoFgUDw2M956uvrkZOTg1u3biE1NRWJiYlITExESUkJlJSUMGHCBMydOxdz587FtGnT6JyJEDao6ERecEUpLS0taGlpQV1dHVpbW9Ha2ora2lr+7bq6Ov5j7lWIwG30PghNTU0oKyvzC251dXV+MTZs2LBed05zH/t3/40rfrkbLS2t+2qp2Pfz94cr1Pg7PT09/B0dfXELY+Cv1vKSC1zJz9/3c3Ab6sBfG5GNjY38gvpeX68/qqqqGDFiRL9FRRoaGhgxYgQ0NTWhqamJESNG8C+0+nbL4d6mu4GJLDh16hSefPJJlJWVwcjIiHUcmdHV1YWKigq+IKJvgcTdiiYaGxvR0NDQ7+fkrt2Smz3cIa+KigrU1NR6Hexyh36SzyF3+z1HsphS0r2uue3t7b2KPbjfc9dr4P+LA7liwJaWFrS2tvKFgH936Ml9L39XtMO9zf3e0NCw389HCPnrLjeuoEuyy4XkxuTdiha4Q5eGhgZoaGigs7PzjnGa/eGuY9y6THJtLPk2t2kNgL++Sf55AP0Wskh+fH+4zfV76Xt9u5v+ro+Srxu4dSxw51pYslCe20QGwHfI4wpJ7vXc0JeamhpaW1uhoaEBc3NzGBgY8IcF/R0ocIVGXKGjpqYmdHR0htyhIJFNN2/exLhx45CcnAwXFxfWcR6r7Oxs3LhxA4mJibhx4waSkpJQUlLC/3dTU1NYWFjwHS25h2SHVu41p+Rr59raWrS0tPAH49wjNzcXra2tAP56/evk5IRx48bxBS/jx48fkt3benp6EBYWhuDgYMyZMwffffcd9PX17/i427dv4/Dhw9i5cyfS09OxcOFCvPXWW5g8eTKD1AT467kyLy8PRUVFKC4uhlgsRnFxMYqLi1FQUMB3aehLS0sLhoaGGDlyJLS0tPg1geSNYNxrGe5Am9P3Obzvcyvw/8+p3HNoU1MTWlpaet1k1NTUxHdk7rvXp6SkBB0dHdTX12PChAmYOHEiP/rN0tIS5ubmsLS0lIpRq3frgqKqqopp06bB09MTPj4+GD16NOuYZBB0d3ejpqYGDQ0N/a75uXV/39cF3LjwhoYGdHR09Fu80Bf388rtZXOvAYDe633J90v+zN/P2p/bE7mXvteRu5Fci/env31yyTW95N6G5OfkbooEeu+Vc+/n1v0P+nc7fPhwfp3f3w1M3Pqfu+ZKfoyuri7zrg3k0ZWXl8POzg5vv/02tmzZwjqOzCovL0d8fDwSExORkJCAGzduQCwW8/+dK7zlim0NDQ177eFKnutxN1C3tbWhpaWF73jLdb0Vi8WoqqoC8Nd5oK2tLSZMmMAXu7i5udEoKkKGBio6IY+GqzbmNpC5F7iSm87cYpNbaPbtvgGAr1bmcE80wJ2b3JIL1v6KXyQ3tP+O5EL3Xh7krtT+FvmSLxwA9CrU6HsoIFkFL/mCgDsIldxc6NtVRlNTE9euXYNQKERzczP++c9/IigoCHZ2dgPWwpQQWVBTUwM9PT2cPHkS3t7erOPIrcrKSvj7++P06dN466238OKLL/KdPu52dwr3fML9yhXqcc9RkpuvfQs6+usGdq8D1v4KVfo+T3CbQpLXa+46zR0oq6io4Pfff8ewYcOwcuVKvsvLve6qIoSw1dbWhsjISHzyySdISkqCm5sbXnnlFTzzzDN8YQK3vpS8A4+7FnHXJu46w23YSq5J+9uUlSxElrxOcZ+zr7/bMG5vb0dnZye/0duf+ylMAcBvIEmS3EzqW9AnuRaWLBiX/DzcNVdbWxuKioq9Nuu59XPfu0m5z9Xe3o6jR4/e8/8VIUPJgQMHsHHjRtTX10vFAe6jam5uRk5ODt+NpLi4uNco4urqan7zGfj/dRv3M89dU0aMGMEXqXCdJKytrfkuKmZmZlJxg0RRURFWr16Ns2fPYvv27di6devf5u7u7sYvv/yCDz/8EFeuXIG3tzeEQiEmTpw4SKnJg+ju7ub/bUv+WlFRgYaGhl6dZrmbwrgbxIA7D3nvtvfV94Ygbn+K+3lRV1eHmpoa31mSK3KR7L4iOdJYV1cXXV1dePnll/HVV19h3759WLt27eD8hQ2wiooKnD9/HiKRCCKRCHV1db26oHh7e9PrL3JfHqQbR9+OfUDv9b7kz3l/a//+9sMl99P7cz/74H33r++mvxtBJdf0knsnkkX1kvvmkl+L+xjuc1AXGfIwnnvuOZw/fx4ZGRl0DjLIWltb+W4kt27dQnFxMb+ur6io4Ds53759u9ceBvdzzBWbSxagGxgYwNLSEqNGjcKoUaNgbW1Nr+UJGbqo6ISQu6mtrYWuri5OnToFLy8v1nEeGrfRvmPHDojFYqxYsQJvvvkmHB0dWUcjZMgyMzPDq6++itdff511FLl0/vx5PPvssxg2bBiOHDkiF3drxsbG4qmnnoKHhwf++9//UgtIQoaonJwcfPnll/jyyy/R3NyMp59+Gps2bZLq69TcuXMxatQohIeHs44y4OLi4rBnzx4cP34cBgYGCAgIwPr162meOhlSNmzYgMTERFy6dIl1FDLIoqKisG7dOmhra+Pbb7/lx+k8iLi4OLz99ts4f/48PD098cEHH+CJJ54YgLREHvX09ODdd9/F9u3b8c4770AoFLKO9Fj9XReUp59+Gk5OTqxjEjKgdu/ejY8++qhXJzJCpElcXBxmzJiBY8eOYcmSJazjEEKIvDlJZaCE3AXXVeRBRwgNNSoqKvD390daWhr279+Pa9euwdnZGT4+PoiPj2cdj5AhycXFBampqaxjyJ2enh6EhoZi7ty5mDhxIq5fvy7VB7kPYvr06Thz5gyuXr2KBQsW3LVbASGEje7ubsTExMDPzw8ODg747rvvsHHjRhQVFSEyMlLqr1NZWVmws7NjHWNQeHh4IDIyEmKxGAEBAfjss89gYWEBPz8/XLlyhXU8QgAACQkJmDBhAusYZBDV1dVh1apVWL58OZYtW4akpKSHKjgB/rrOnTt3Dr/++ivq6+sxadIkLFq0CElJSY85NZFHCgoKEAqF2L9/P95//31s2LDhniNBpY2SkhLc3NwgFAoRHx+PsrIy/Oc//4GOjg5CQkIwevRoCAQCBAYGIioqil6zEZmkq6vbbzdYQoa6zs5ObNiwAfPmzaOCE0IIYYSKTgi5i+HDh2PYsGFSX3TCGTZsGPz9/ZGamoqffvoJZWVleOKJJ+Dl5YXLly+zjkfIkOLi4oKUlBTWMeRKRUUF5s2bh23btmH37t04fvw4P7dcXri5uSEmJgapqanw9vZGQ0MD60iEyLWGhgZERETA1dUVXl5eKCkpwQ8//ACxWAyhUAh9fX3WER9Zc3MziouLYW9vzzrKoDI1NYVQKERRUREiIiKQkZGBKVOmwN3dHQcPHuTHfxIy2Lq6uvgxUEQ+/PHHH3BxcUFMTAxEIhHCw8P5G2AexYIFC/Dnn3/ixIkTKCoqwvjx4/HCCy+gqKjoMaQm8m716tWIiorCgQMHsHTp0l6jsmWJoaEh/P39ERkZiaqqKsTHx2PVqlVISEjA8uXLYWhoCC8vL4SGhiI9PZ11XEIeCx0dHbS1tfEjfQiRJmFhYcjIyMCePXtYRyGEELlFRSeE9ENNTU1mik44ioqK8PHxwbVr1xAdHY3m5mZMnToVHh4eEIlErOMRMiQ4OzsjLS0NXV1drKPIhStXrsDNzQ15eXm4ePEiNmzYwDoSM+PGjcOFCxeQl5eHOXPmoLq6mnUkQuROVlYWgoKCYGZmhs2bN8PDwwNJSUmIi4uDr68vP5NcFmRnZ6Onp0fuik44qqqq8Pf3R1JSEmJjY2Fra4sXX3wRlpaWEAqFqKqqYh2RyJmMjAy0tLRg/PjxrKOQAdbS0oKgoCB4e3tj6tSpSE1NxcKFCx/713nqqacQHx+PI0eOIDY2FgKBAEFBQairq3vsX4vIl8WLF+PMmTOIjY2Vi9ctfbuglJaW8l1QPvzww15dUEQiER3YE6nF3fxTU1PDOAkhD6a0tBQ7duzAG2+8IbevbwkhZCigohNC+qGuri5zRSeSPD09cenSJcTGxkJHRwdPP/00JkyYgKioKPT09LCORwgzLi4uaG1tRW5uLusoMi8iIgIzZ86Eq6srrl27Rnf2AnB0dERcXBxqa2sxY8YMlJaWso5EiMzjRuj4+PjA0dERJ0+exNtvvw2xWIzw8HC4urqyjjggsrKyoKSkBFtbW9ZRmONG72RmZsLf3x979+6Fubk5/P39cfPmTdbxiJxISUmBsrIynJycWEchAyg2Nhaurq44fPgwIiMjERkZCV1d3QH7egoKCvD19UVqaio+/PBDHDp0CHZ2dti7dy86OjoG7OsS2Td58mRcuHABxcXFmDFjBgoLC1lHGjRGRkZ8F5Tq6upeXVAWLVoEXV1dvgtKRkYG67iE3Deu6IRG7BBpExQUBH19fQQHB7OOQgghco2KTgjph6wXnXC4LifXr1/HqFGjsHz5cowZM4baixO55ezsDEVFRRqxM4Da29uxdu1arFu3Dq+99hp++eUXuRuncy/W1tY4e/YsOjo6MHv2bGqFTsgAqa+vR1hYGAQCAZ588km0tbXh6NGjyMjIQHBw8IAeAg4FWVlZsLa2xvDhw1lHGTJsbW0REhKC4uJiRERE4Pr16xg3bhyN3iGDIj09HQKBACoqKqyjkAHQ1NSEjRs3YtasWRg9ejSSk5OxbNmyQfv6Kioq2LRpE27duoUXX3wRW7ZsgbOzM37//fdBy0Bkz+jRo3HlyhUoKytj8uTJSEpKYh1p0P1dFxQnJ6deXVDa29tZRyakX9zrHyo6IdIkOjoaUVFR2Lt3L1RVVVnHIYQQuUZFJ4T0Q16KTjjjxo1DZGQkkpKSMH78eLz44ouwt7dHWFgYtQYlckVdXR1WVlZITU1lHUUmFRUVYebMmTh69CiOHTuGkJAQKCrScqQvS0tLxMbGYvjw4Zg+fTpycnJYRyJEZly/fh2BgYEwNTXFO++8g3nz5iElJQXR0dHw9fWFkpIS64iDIjs7m1oP94MbvZOcnMyP3lm9ejWsrKxo9A4ZMGlpaRg9ejTrGGQA/PHHH3BxccGhQ4ewb98+iEQiGBsbM8mio6ODkJAQ/t+bt7c3/Pz85KpLBXm8TE1Nce7cOQgEAsyaNQuxsbGsIzHVtwtKbGwsfH19qQsKkQo0XodIm+bmZqxbtw5Lly6Ft7c36ziEECL36JSHkH7IW9EJx8XFBQcPHkRWVhZ8fHywdetW2NjYIDQ0FC0tLazjETIoXFxcqOhkAJw+fRrjx49Hc3MzEhISsGTJEtaRhjQjIyOcO3cOBgYGmD17NrKzs1lHIkRqdXR0ICoqCl5eXpgwYQLOnz+PDz74ACUlJQgPD5fLcRZZWVlUdHIfuNE7WVlZWLVqVa/RO/J4RzcZOFR0Invq6uoQGBgIb29vuLq6IjU1FQEBAaxjAQBsbGzw008/ISYmBikpKXB0dIRQKKQuDOSh6OjoIDo6Gp6envDy8kJUVBTrSEOCkpISPDw8EBISgvj4eOTl5eHTTz+Furo63nvvPTg5OcHZ2RlbtmzB+fPnqaMaYU5VVRWqqqrU6YRIjbfeegvV1dUICwtjHYUQQgio6ISQfslr0QnHxsYGYWFhyMrKgp+fH7Zv3w4bGxuEhISgsbGRdTxCBpS9vT0d8D9mERER8Pb2xrRp03Dx4kXY2dmxjiQVdHV1cerUKZibm2P69OlITk5mHYkQqVJeXo7Q0FAIBAKsWLECqqqqiI6ORnp6OoKCgqCurs46IjNZWVl0LX4A3OgdsViMPXv2IDExEWPHjoWHhweioqLooIg8ks7OTty6dUsuC+BklUgkgouLC06cOIGoqCiIRCKYmpqyjnWHuXPn4vr163jzzTexc+dOjB07FmfOnGEdi0ghFRUV/PDDD1i9ejWeeeYZ/Oc//2EdacixsrJCYGAgfvrpJ1RVVSE6Ohrz58/Hzz//jFmzZsHQ0BArVqzAoUOHqKsaYUZHR4eKTohUuHr1Kj777DOEhYXBzMyMdRxCCCGgohNC+iXvRSccCwsLhIWFQSwW46WXXkJoaCisra0hFApRV1fHOh4hA8LOzg5ZWVmsY8iEzs5OvPLKK1i3bh3efPNNHD9+HFpaWqxjSRVtbW1ER0fDxcUFM2fOxJ9//sk6EiFDXkJCAgIDA2FtbY2QkBAsWbIEubm5EIlE8PT0hIKCAuuITFVXV6OmpoY6nTwEDQ0NBAQEICUlBbGxsTA1NcUzzzzDj96prq5mHZFIoezsbLS3t1OnExlQXl4OX19fPP3005g6dSpSUlKwdOlS1rHuSUVFBW+99RbS0tLg5OQET09PBAQEoL6+nnU0ImWUlJTwxRdf4P3338fLL7+MrVu3so40ZKmoqMDT0xOffPIJMjMzkZOTg5CQEDQ3N2PNmjUwMjKCu7s7hEIhEhIS0NPTwzoykRO6urpUdEKGvPb2drz44ouYNWsW/P39WcchhBDyP1R0Qkg/qOikN319fQiFQuTm5mLDhg3YvXs3BAIB3n//fTQ0NLCOR8hjZWdnh8bGRpSXl7OOItVqa2sxf/58fPnllzh06BCEQqHcH/Q+LHV1dZw4cQITJ07EvHnzcOnSJdaRCBly2tvbERUVhalTp8Ld3R3x8fEICwtDcXExwsLCYGVlxTrikJGfnw/gr+4d5OFxo3cyMzOxatUq7NmzB2ZmZvD396fOVOSBpKenQ1FREQ4ODqyjkIfU09ODAwcOwMnJCYmJiYiJiUFkZCT09PRYR7tvVlZWOH78OH7++Wf8+uuvcHJywk8//cQ6FpFCwcHBOHDgAD755BO88MIL1A3sPtja2iIgIAAikQg1NTX46aef4Obmhv3798Pd3R3Gxsbw9/dHVFQUdR8mA0pTU5P2ecmQt337duTn5yMiIoL2GQkhZAihohNC+kFFJ3eno6ODd999F4WFhdiyZQs+/vhj2NjYUOcTIlO4cQM0Yufh3bp1C9OmTUN6ejpiY2Px7LPPso4k9dTU1HDixAnMnTsX8+bNQ0xMDOtIhAwJJSUlEAqFsLCwwMqVK2Fubo7o6GgkJCQgICAAampqrCMOOYWFhVBQUKA2xI+JQCBASEgICgoK+NE7Y8aModE75L6lpaXB2tqarldSKjU1FTNnzkRAQACef/55JCcnY+7cuaxjPTQfHx+kpKTAx8cHS5YsgZ+fH436IA/s+eefx48//ojIyEj84x//QEtLC+tIUkNNTQ0+Pj4IDw9HUVERUlJSsGnTJuTm5mLFihUwNDSEl5cXQkNDkZmZyToukTGqqqpob29nHYOQft28eRM7d+7ERx99RDdREELIEENFJ4T0g4pO7k1TUxPBwcEoKCjAli1bEBYWBoFAQMUnRCaYm5tDTU2Nik4eUlxcHKZOnQoVFRVcuXIF7u7urCPJjOHDh/Mbt0899RROnDjBOhIhzMTFxcHPzw9WVlYIDw/H6tWrkZOTg8jISHh6erKON6QVFhbCwMAAqqqqrKPIFG70TnJyMqKjo/nRO/b29ggNDaXRO6Rf6enpNFpHCrW0tEAoFGLChAlobm7GpUuX8Omnn8pE8ZCOjg7Cw8Nx4sQJXLx4ES4uLhCJRKxjESnj4+ODs2fP4sqVK5g9ezYqKytZR5JKzs7OCA4ORlxcHMrKyhAeHg4dHR18+OGHcHR0hEAgQFBQEGJiYtDR0cE6LpFyVHRChrL29nY899xzmDx5MtatW8c6DiGEkD6o6ISQflDRyf2h4hMiixQUFCAQCKjo5CHs378fc+bMwZw5c3Dp0iVYWFiwjiRzlJSU8PXXX+Of//wnfH198eOPP7KORMigaWtrw8GDBzF27FhMnz4dubm5+Oqrr1BQUICQkBCYm5uzjigViouL6e9qACkoKMDT05MfvePn54fQ0FCYm5vT6B1yV2lpaVR0ImVEIhGcnZ0RFhaGjz76CH/++ScmTpzIOtZj5+Pjg9TUVDz55JNYtGgRNm7ciLa2NtaxiBSZOHEiLl++jOrqasycORNisZh1JKlmYGAAf39/REZGoqqqCrGxsfD19UV0dDS8vLxgbGwMPz8/REREoKysjHVcIoVUVFToOk+GrLfeegu3bt3CV199BUVFOtokhJChhq7MhPSDik4eDBWfEFljZ2dHRScP6N1330VAQADeeOMN/PDDDxgxYgTrSDJLSUkJ+/fvx0svvQQ/Pz8cPHiQdSRCBlROTg62bt0KMzMzBAQEwMHBAZcvX0Z8rIQprgAAIABJREFUfDz8/f0xbNgw1hGlSlFRERWdDBJu9I5YLEZYWBgSEhJ6jd7p6upiHZEw1tPTg+zsbNjb27OOQu5DcXEx/P398fTTT+OJJ55ARkYGgoKCoKSkxDragNHW1sa3336LyMhIfP/993Bzc0NSUhLrWESKCAQCxMbGQkVFBVOmTMGNGzdYR5IJysrK8PDwQEhICNLS0pCTk4MPP/wQra2t2LhxI8zNzeHu7g6hUIiEhAT09PSwjkykAHU6IUPVhQsXsGvXLuzdu5cfi04IIWRooaITQvpBRScPh4pPiKyws7NDTk4O6xhSoaurCy+99BJ27NiBL774Au+++y4UFBRYx5J5CgoK2LVrF1577TWsXr0aX331FetIhDxW3d3diImJgZ+fHxwcHPDdd99h48aNKCoqQmRkJCZPnsw6otQqKiqCmZkZ6xhyRVNTEwEBAUhJSUF0dDR0dHSwfPlyfvROTU0N64iEkfLycjQ3N0MgELCOQu6hs7MTYWFhcHJywuXLl/HHH38gMjISRkZGrKMNmmXLluHGjRvQ1dXFpEmTEBYWRofY5L6ZmJggNjYWrq6umDFjBqKjo1lHkjm2trYICAiASCRCRUUFDh8+DGdnZ3zxxRdwd3eHjY0N1q9fjz/++IOKCki/VFVV0drayjoGIb3U1dVh1apVePrpp/HCCy+wjkMIIaQfVHRCSD+o6OTRUPEJkXaWlpbU+vc+tLe3Y8WKFfjmm29w5MgRmqk6yBQUFLBz5068//77WLt2LXbv3s06EiGPrKGhAREREXB1dYWXlxdKSkrwww8/QCwWQygUQl9fn3VEqVdeXg5jY2PWMeQSN3pHJBIhKysLvr6+CAkJgZmZGfz9/ZGSksI6IhlkXJEzFZ0MXWfPnsX48ePxxhtvYMuWLUhJScG8efNYx2LC0tISZ8+exeuvv47NmzfjH//4B+rr61nHIlJCQ0MDIpEICxcuhI+PD44cOcI6kswaOXIk/Pz88O2336KsrAyXL1/GypUrcfHiRcyfPx8GBgbw9fXFd999h+rqatZxyRCirKxMnfjIkPPSSy+hs7MT+/fvZx2FEELIPVDRCSH9UFdXR2trK7q7u1lHkWpUfEKklbW1NWpqatDY2Mg6ypBVW1sLT09PnDlzBtHR0Vi2bBnrSHIrODgYoaGheO2117Bjxw7WcQh5KFlZWQgKCoKZmRk2b94MDw8PJCUlIS4uDr6+vlBWVmYdUWZUVlZS8c4QMGrUKISEhKCgoABhYWGIj4+Hq6srjd6RM7m5uVBRUaHuQ0NQQUEB/Pz8MGfOHFhbWyM5ORlvv/02VFRUWEdjSllZGdu3b8eZM2dw9epVTJo0Cenp6axjESkxfPhwHD58GBs3bsSzzz6Ljz/+mHUkmaeoqIjJkyfjvffew40bNyAWi/Hxxx+jra0Na9euhZGRET+GJy0tjXVcMgRQFysylHz33Xc4evQovvzyS+jp6bGOQwgh5B6o6ISQfqirq6Onp4daCj4mVHxCpI2VlRUAULeTfojFYkydOhVFRUW4ePEiPDw8WEeSe6+//jr27dsHoVCIrVu3so5DyH3hRuj4+PjA0dERJ0+exNtvvw2xWIzw8HC4urqyjihzurq6UFtbCwMDA9ZRyP/Q6B35lpubC2traygq0vbMUNHa2orQ0FA4Ozvj+vXrEIlEEIlE1I2mjxkzZuDmzZswMTHBxIkTcezYMdaRiJTgujXu2rULwcHBCAoKokPuQWRpacmP4ampqcHx48fh5uaG//znP3B2doZAIEBQUBBiYmLQ0dHBOi4ZZAoKCvTzSIaMrKwsrF+/Hq+88goWLFjAOg4hhJC/QbsahPRDXV0dAGjEzmNGxSdEWlDRSf/S09MxdepUqKio4OLFi3B0dGQdifzPunXr8O233+KTTz7B66+/TptFZMiqr6/n1wBPPvkk2tracPToUWRkZCA4OBi6urqsI8qsmpoadHd3U9HJEKSoqMiP3snMzORH71hZWSEwMBCpqamsI5IBkJubC1tbW9YxyP+IRCI4Oztjx44d2Lx5M1JSUvDUU0+xjjVkGRgYIDo6GuvXr4evry+2bt1K3WLJfQsKCsI333yDffv24bnnnqMCBwbU1NTg4+OD8PBwFBcXIz4+HqtWrUJMTAy8vLxgbGwMPz8/HDx4kEZpyQkqOiFDRVtbG1asWAFHR0eEhoayjkMIIeQ+UNEJIf2gopOBxRWf5ObmYv369di9ezcEAgHef/99GmdChgQNDQ3o6upS0UkfSUlJmDVrFmxsbHD+/HmYmpqyjkT6WLlyJQ4dOoSwsDC89NJLtPFPhpTr168jMDAQpqameOeddzBv3jy+u4Ovry+UlJRYR5R5lZWVAEDjdYY4Ozs7hISEQCwW45NPPkFsbCxcXFxo9I4Mys3NpQ4aQ0BWVhYWLFiARYsWwd3dHWlpaRAKhXI/Sud+KCsrIyQkBOHh4di9ezcWLVpEh9Pkvq1atQonT57Ezz//jAULFtB+EENKSkpwc3ODUChEamoqcnJy8M4776C2thZr1qyBvr4+PDw8EBYWhsLCQtZxyQChohMyVLz88svIz8/H0aNHaT1GCCFSgopOCOkHFZ0MDh0dHWzfvh15eXlYv349du7cCVtbW3zyySc02ogwZ2VlRUUnEhITEzF37lw4Ojrit99+w8iRI1lHIv1Yvnw5fvzxR3z77bfw9/dHZ2cn60hEjnV0dCAqKgpeXl6YMGECzp8/jw8++AAlJSUIDw+Hk5MT64hypbq6GgBoHraU0NLSuuvoHQcHB4SGhqK2tpZ1RPKIqNMJW3V1dXjttdfg4uKC8vJyxMXFITIyEpaWlqyjSZ21a9fi7NmzSExMxIwZM1BcXMw6EpESnp6eOH36NJKSkjBnzhxUVFSwjkQA2NraIigoCNHR0SgtLcXhw4dha2uLd955B5aWlnB2dsbWrVsRFxdHRQoyREFBgXUEQnDgwAF88803OHDgAGxsbFjHIYQQcp+o6ISQflDRyeDiik+4zifbt2+HtbU1QkND0d7ezjoekVPW1tbIz89nHWNIiI+Ph5eXF9zd3fH7779DU1OTdSTyN5566ikcP34cP/74I/75z39Su2oy6MrLyxEaGgqBQIAVK1ZAVVUV0dHRSE9PR1BQEL/WIoOLu/tcR0eHcRLyIPqO3lm4cCHee+89fvROWloa64jkIbS2tqK0tJSKThjo6OjA3r17YWdnh++//x6fffYZrl27hqlTp7KOJtWmTJmCa9euQUFBARMnTsTNmzdZRyJSwt3dHZcvX0Z9fT2mTJmC7Oxs1pGIBD09Pfj6+uLgwYOorq5GbGwsPD09cfjwYUyfPh3Gxsbw9/dHVFQU7aNKua6uLigq0pERYSc5ORkbN25EcHAwFi9ezDoOIYSQB0ArCEL6QUUnbOjq6kIoFCInJwcvvPAChEIh7O3tERERQXfqk0FHnU7+Ehsbizlz5mDKlCk4fvw4RowYwToSuU/z58/H77//jt9++w1LlixBW1sb60hEDiQkJCAwMBDW1tYICQnBkiVLkJubC5FIBE9PT7p7jrHGxkYoKytDVVWVdRTykOzs7BAWFobi4mJ8/PHHuHDhAlxcXODl5UWjd6RMbm4uenp6aLzOIIuJicGECROwefNmPPvss8jKykJAQAAdsj0mpqamOHv2LEaNGoXZs2fjwoULrCMRKWFra4vY2Fjo6Ohg+vTpSExMZB2J3IWysjI/ZkcsFiMhIQEvv/wyUlNTsXz5chgbG2PZsmU4ePAgdWSTQu3t7fQ6gTBTV1eHpUuXwt3dHTt27GAdhxBCyAOiV9SE9IOKTtjS19dHSEgIsrKyMH/+fKxfvx6urq44ePAguru7WccjcoKKToBz585hwYIF8Pb2xvHjx2nzQQrNmDEDZ86cweXLl7FgwQI0NTWxjkRkUHt7O6KiojB16lS4u7sjPj6ePxQPCwuDlZUV64jkfxobG6GhocE6BnkMuNE7qampOHXqFFRVVbF8+XI4OjrS6B0pUVBQAAB0jRwkaWlpWLBgAby8vGBtbY309HSEhYVBW1ubdTSZo6Ojg1OnTmHevHmYN28ejh49yjoSkRJGRkY4d+4cJkyYgJkzZ+L3339nHYncg4KCAiZMmIBt27YhISEBBQUF2LlzJ5qbmxEQEAAjIyN4eXnhiy++QElJCeu45D60tbXRvg9horOzE8uXL0dLSwuOHDkCZWVl1pEIIYQ8ICo6IaQfqqqqUFJSQktLC+socs3CwgLh4eHIzs7GjBkzsHr1aowdOxZRUVE0M5YMOCsrK5SXl6O1tZV1FCZiYmLg7e2NJUuW4PDhwxg2bBjrSOQhubu7IyYmBikpKViwYAEaGhpYRyIyoqSkBEKhEBYWFli5ciXMzc0RHR2NhIQEBAQEQE1NjXVE0kdjYyONSJMxkqN3MjIysGDBAuzYsYNG70iBwsJCjBw5kn4mB1hJSQkCAwMxZswYVFVV4cKFCxCJRNRhZoCpqKjg+++/x9q1a/Hss88iPDycdSQiJTQ0NHDixAn4+flh0aJFOHz4MOtI5D6Zm5tj3bp1+O2331BTU4Njx47BxMQEb7zxBszMzODs7AyhUIj09HTWUUk/qNMJYWXz5s24cOECfvzxR5iYmLCOQwgh5CFQ0Qkh/VBQUMCIESOo08kQYW1tjfDwcCQlJcHJyQnLly/HlClTEBMTwzoakWFWVlbo6elBYWEh6yiD7tKlS1i8eDGWLVuGb775BkpKSqwjkUc0fvx4nD9/Hjk5OZg7dy6qq6tZRyJSLC4uDn5+frCyskJ4eDhWr16NnJwcREZGwtPTk3U8cg/U6US22dvbIywsDCUlJdixYweio6Ph6uoKLy8viEQiKtoeYoqLi2Fubs46hsxqaWlBaGgoHB0d8dtvv+HAgQO4evUqpk+fzjqa3FBSUsLevXvx7rvv4qWXXsK+fftYRyJSQllZGfv378cbb7yBlStXQigUso5EHpCamhp8fHxw8OBBlJeXIzo6Gp6enggPD8fo0aMhEAgQFBSEuLg4Wp8MIdTphLDw9ddfY+/evThw4AAmTpzIOg4hhJCHREUnhNyDuro6FZ0MMaNHj0ZkZCSuXLkCAwMDeHl5wcvLC/Hx8ayjERnEtTqXtxE7SUlJ8PHxwdy5c/H111/TfHsZ4uTkhLi4OFRXV8PT0xOVlZWsIxEp0tbWhoMHD2LMmDGYPn06cnNz8dVXX6GgoAAhISF0cColmpqaqKuCHNDS0kJQUBBu3bqFP/74A6qqqli0aBHs7e0RGhqKuro61hEJ/io6MTMzYx1D5nR2diIiIgKjRo3Ce++9h02bNiErKwv+/v5QUFBgHU8uvf322/joo4+wfv16fP7556zjECmhoKAAoVCI3bt3Y8eOHQgKCqJxy1JKVVUVnp6e/PjN2NhY+Pr64uTJk5g+fTqsra0RFBSEmJgYdHZ2so4r19rb26GiosI6BpEjcXFxWLduHf7973/jmWeeYR2HEELII6BTJELugYpOhq6JEydCJBLh3LlzaGpqwsSJE7F8+XJkZ2ezjkZkiJ6eHjQ1NZGfn886yqDJzs7Gk08+iXHjxuHo0aM0Q1UG2djY4OzZs2hqasKMGTNQXFzMOhIZ4nJycrB161aYmZkhICAAjo6OuHz5MuLj4+Hv70+jt6QM3b0oX/obvWNpaYnAwEBqb89YUVERFew9Rj09PTh27BhcXFywceNGLFu2DLm5uRAKhXTdGwL+9a9/ITQ0FBs3bsQXX3zBOg6RIq+88goiIyMREREBPz8/tLW1sY5EHoGioiI8PDwQEhKC7OxspKSk4IUXXsDFixfh5eUFY2Nj+Pv7QyQSob29nXVcudPa2ooRI0awjkHkxK1bt7BkyRL4+PhQRytCCJEBVHRCyD1Q0cnQN3PmTFy+fBmnTp1CRkYGnJ2dERgYiJKSEtbRiIywsrKSm04nhYWF8PLygpWVFX7++WfanJdhVlZWiI2NhbKyMt+xghBJ3d3diImJgZ+fHxwcHPDdd99h48aNKCoqQmRkJCZPnsw6InlInZ2dVFAop7jRO8XFxdixYwdOnToFFxcXGr3DUFFREXU6eUwuX76MmTNnwtfXF2PGjEFqair27NkDAwMD1tGIhNdffx0hISHYsGEDFZ6QB7J06VKcPHkSMTExWLhwIerr61lHIo+Js7MzhEIh4uPjkZOTg3//+9/Izc3FokWLoKury4/oaWhoYB1VLtTW1kJbW5t1DCIHysvLMX/+fFhbW+Pbb7+lbnSEECIDqOiEkHugohPp4enpievXr+P7779HdHQ07OzssHXrVmodTh6ZtbW1XHQ6qaiogJeXF7S0tHDy5EloaGiwjkQGmLGxMU6fPg0tLS3Mnj2bOkURAEBDQwMiIiLg6uoKLy8vlJSU4IcffoBYLIZQKIS+vj7riOQRdXV1QUlJiXUMwtDIkSMRFBSEnJwc/PTTTwCARYsWwcHBAWFhYWhqamKcUH7QeJ1Hl56eDj8/P0ydOhUqKiq4du0aIiMjMWrUKNbRSD+2bNmCbdu2YcOGDfjmm29YxyFSZPbs2YiLi0NmZiamT59OHRtlkK2tLYKCghAXFwexWIxdu3YBANasWQMjIyN4eXkhLCwMZWVljJPKrrq6Oio6IQOusbERCxYsAAD88ssvUFdXZ5yIEELI40BFJ4TcAxWdSBdFRUX4+voiIyMDu3btwtdffw2BQIDQ0FC0trayjkeklLW1NfLy8ljHGFANDQ3w8vICAMTExEBXV5dxIjJYDA0Nce7cOZiammLGjBlITk5mHYkwkpWVhaCgIJiZmWHz5s3w8PBAUlIS4uLi4OvrS50xZAgVnRCOoqIifHx8EB0djfT0dHh7e+PNN9+EmZkZAgMDkZGRwTqiTGtubkZdXR2N13lIRUVFCAwMhKurK9LT0yESiRAdHQ03NzfW0ch92LZtG4KDgxEQEIBTp06xjkOkiIuLC+Li4nD79m14eHggMzOTdSQyQCwsLBAQEACRSITS0lJ88cUXUFNTw9atW2Fubg5PT0+Eh4ejsrKSdVSZUl//f+zdd1hUx/s28HvpICAgHSkKSBMCiBWJii0W7GJDxR6NCWosX1vEjr0kimg0SowNu6IiiIWiUYoKCCi9V+l1y3n/yG/PS7PDnt1lPte1l7i77LnRZefMnGdmykjRCdGm2Gw2Jk+ejMzMTNy9exdaWlpMRyIIgiBaCSk6IYiP+FDRCVl6WrjJyMhg4cKFSEpKwurVq7F9+3Z069YNx48fB4fDYToeIWK6dOki1kUnXC4XU6dORWFhIe7fvw9NTU2mIxECpqKigsDAQFhYWGDgwIF48eIF05EIAeFvoePi4gJzc3PcuXMHGzZsQHp6Onx8fGBtbc10RKINkO11iJbwVznJycnBli1bEBAQACsrK7L1Tiupra3Fs2fPkJSURG8PkJWVBQBkpZMvlJeXh2XLlsHU1BRBQUH4+++/8fr1a4wePZrpaMQX2rFjB6ZNm4ZJkybh5cuXTMchRIiRkRHCw8Ohq6uLfv36ITw8nOlIRBvr1KkT5syZgxs3bqCwsBDnz5+HmpoaVqxYAR0dHboApaCggOmoIq2yshL19fWk6IRoMxRFYf78+QgPD0dAQABMTU2ZjkQQBEG0IhZFRo8IAgAQEBCAq1evoqKiAjU1NSgpKUF8fDw4HA7k5eVRW1uLuro6VFZWYv/+/Vi+fDnTkYnPlJ2djS1btuDUqVMwMzODl5cXGZQkPtvVq1cxadIkVFdXQ05Ojuk4rc7DwwPHjx/Hw4cP0adPH6bjEAyqrq7GuHHj8OLFC9y5cwd9+/Zt9hyKopCSkgJjY2MGEhKtpbS0FGfOnMHBgweRkZEBZ2dnLFy4EBMmTCArYLQDM2bMQFVVFb2tCkG0hMfjwd/fH4cPH8aDBw9gamqKJUuWYP78+WT566/A5XKhpqZGF5xISUlBSUkJLBYL3bp1g6GhIdTV1aGurg5dXV0sXLiQ4cTCp6ioCLt378aRI0egoqKCdevWYcGCBZCRkWE6GvEN2Gw2Ro4ciTdv3uDp06cwMDBgOhIhQqqqqjBlyhQ8evQIFy9exKhRo5iORAhYTU0NgoKC4Ofnh+vXr6Oqqgp9+/bF5MmTMWXKFGhrazMdUaRkZWVBX18f4eHhLY4HEMS3oCgKS5cuxZ9//om7d+/C2dmZ6UgEQRBE67pDik4I4v/ExMTAxsYGLBbrkzP53r17R/aIFkGJiYlYv349rl69ioEDB2LPnj1k+WXik6Kjo2Fvb4+EhASYmZkxHadVnTx5EgsWLMA///yDadOmMR2HEAJ1dXWYOnUqAgMDcfPmzWaDAMuWLUNwcDBevXoFFovFUEria0VHR+PYsWM4e/YspKSkMHXqVCxbtgwWFhZMRyMEaPr06aipqcG1a9eYjkKIiISEBHh7e+PPP/+kPzuWL18Oc3NzpqOJlDFjxsDf3x88Hq/ZYywWC1JSUmCz2Zg5cyZ8fX0ZSCicKioqcPToUezcuRPS0tJYuXIlfvnlF8jLyzMdjWgl5eXlcHJyApfLRWhoKJlhT3wRLpeLxYsX49SpU/D29saCBQuaPYeiKFy4cIH0ecVcdXU1/P394efnB39/f9TV1WHAgAGYMmUKJk2aRLYR/gxxcXHo3r074uLiYGlpyXQcQoxQFIVly5bB29sbFy9exPjx45mORBAEQbS+O2R7HYL4P9bW1nBwcPjkRTQTExNScCKizMzMcPnyZTx79gwcDgc9e/aEq6urWG+dQny7rl27AoDYvU8CAwPx448/YsuWLWTwjaDJysri0qVLGDFiBFxcXHD//n36sfXr1+Pw4cOIjY3F1atXGUxJfAk2mw0/Pz8MHToU9vb2ePz4MXbs2IGcnBz4+PiQgpN2SFpaGmw2m+kYhAgxNzcnW++0gqFDh0JCouUhGIqi6N9LsqLmfyorK7Fr1y4YGBhg9+7dWLZsGZKTk7FmzRpScCJmlJWVcevWLZSUlGDy5MlkS1zii0hKSsLHxwcbNmzAokWL4Onp2ew5q1evhpubG6KiogQfkBAYBQUFTJ48GZcuXUJhYSHOnTsHNTU1LFu2DDo6OnBxccG5c+da3Ead+E9ubi4AQEtLi+EkhLhZu3Ytjhw5gjNnzpCCE4IgCDFGik4IooElS5Z89HEZGRlMnDhRQGmIttKrVy88efIEN27cQFRUFMzNzeHh4YGysjKmoxFCqGPHjlBRUUFaWhrTUVpNQkICXF1dMWHCBKxfv57pOISQkZaWxoULF+Dq6goXFxdcu3YN27dvx44dO0BRFFgsFtatW9fiTG1CeOTn52PXrl0wNjbG1KlTIScnh8DAQMTHx8PDw4Nsj9GOycrKor6+nukYhAjq2LEjPDw8kJKSQm/PNGbMGLoohVzE+bghQ4Z89GK6pKQkHB0dYWdnJ8BUgvO5nztVVVU4dOgQTExMsH37dixatAjJycnw9PSEsrJyG6ckmGJgYIDbt28jLCwMv/32G9NxCBHDYrHg6emJ33//HVu3bsXSpUvpvsqBAwewd+9eAKSorz1RUFCAq6sr/Pz8UFxcjLNnzwIA3N3doa6uDhcXF/j5+ZFz4iZycnIgJydHVoUhWtW6deuwd+9e+Pr6kklvBEEQYo4UnRBEA1OnToWCgsIHH6+vr4eLi4sAExFtycXFBfHx8fj9999x/vx5GBsbY9euXairq2M6GiFkjIyMxGalk+LiYowaNQqWlpY4c+YM2SKFaJGkpCROnjwJd3d3TJs2DRs2bKAf4/F4ePfuHfz8/BhM2D7U1NR88UXcyMhILFq0CEZGRvDy8sL48eORkpKCW7duYciQIeR3niBFJ8Q3k5CQgIuLCwIDAxEdHY2BAwdi3bp10NXVhYeHxxcV6lZXVyM2NrbtwgoRCwsLaGpqfvBxHo+H1atXCzCR4KxcuRKHDh366HPq6+tx/PhxmJqaYv369XB3d0d6ejq8vLzIdivthJ2dHX7//Xd4eXnhxo0bTMchRNBPP/2EK1eu4NSpU5g4cSJ8fX3x66+/AvjvM/bJkye4c+cOwykJQZOXl8fkyZNx69YtZGdnY9++fSgtLcWUKVOgo6ODRYsW4cmTJ2TlNvxXdKKrq0v6jESroCgKq1evxu7du/H3339j+vTpTEciCIIg2hgpOiGIBuTl5TF79mxIS0u3+LiKigr69Okj4FREW5KWlsbChQuRmJiI+fPnw9PTEzY2NvDz8yMdToLWpUsXsVjphMfjYebMmeBwOLh27Rrk5OSYjkQIMQkJCfTu3bvFQjwWi4W1a9eCy+UykKx9KC0txdChQ3Hq1KlPPreurg5+fn7o168fHBwcEBERgUOHDiE7OxuHDh2CoaGhABITokJGRoYU2BKtxtbWFj4+PsjOzsaWLVtw/fp1GBsbf/bWO2fPnkX//v0RFhYmoMTMGjZsGKSkpFp8zMDAAKNHjxZwora3atUq7Nu3D15eXqipqWn2OL/YpGvXrli+fDkmT56MpKQkeHl5QVVVlYHEBJPmzZuH2bNnY86cOWLR/yIEb9y4cbh79y5iYmIwb968Ro9JSkrCw8ODbOHUjmloaGDJkiUICQlBamoqVq9ejX///RcDBgyAiYkJNm/eLDYTjr4Gv+iEIL4Vl8vFjz/+iAMHDuDMmTNkhROCIIh2ghSdEEQTCxcubHGfeykpKYwdOxaSkpIMpCLamqqqKry8vJCYmIjevXtjypQp6NevX7sZACc+rkuXLmIx8LB9+3YEBQXh/PnzH51pSxAA8Pfff2P+/PktPsbj8ZCeno4LFy4IOFX7kJOTQ7dBBw4c+OBF25ycHHh6ekJfXx9ubm7o3LkzAgMDERkZiYULF3509Tai/SIrnRBtQUVFBR4eHkhNTW209Y6FhcVHt97Zv38/ysvLMXjw4HYx+3zIkCEtbk8nKSmJVatWQUJCvIa22uoJAAAgAElEQVRo1qxZg3379gEAysrKcOLECfoxNpsNX19fWFhY4Oeff8aoUaPw7t07HDp0CNra2kxFJoTA0aNHYWBggClTppD2ivgqampqyM/PB4/Ha3QezeVykZKSgjNnzjCYjhAWhoaGWLNmDV6+fIm4uDhMnjwZx44dQ9euXeHg4IDjx4+joqKC6ZgCRYpOiNZQX1+PGTNm4MyZM7h48SJmzJjBdCSCIAhCQMRrRIMgWoGNjQ169OjRbMCPy+VizJgxDKUiBMXAwAC+vr4IDw+HpKQknJycMHPmTGRnZzMdjWCQOGyvExwcjM2bN2Pv3r3o168f03EIIXf58mW4u7t/cob6xo0byWonrSwlJQX9+vVDUlISACA1NRWBgYGNnhMaGgpXV1cYGhrCx8cHc+fORXJyMi5duoQhQ4YwEZsQIbKysmSlE6LNNNx6JyoqCgMGDMDatWuhp6fXbOudBw8eIDExERRF0duYfs7qTqLsQ0Un/BU3xcmGDRuwZ88e+lyCy+Vix44dqKmpgZ+fH6ysrDB//nwMGTIEycnJ8PHxIRe6CAD//T5cunQJ8fHx+N///sd0HELEpKamYvDgwaitrW3x85aiKKxdu/aLt7AkxJulpSW8vLyQmZmJmzdvwtDQED///DN0dXXh7u6O8PBwpiMKRE5ODvT09JiOQYiw6upqjB07Fv7+/rh9+zYmTJjAdCSCIAhCgEjRCUG0YPHixc3uk5KSwtChQxlIQzChT58+CA0NxaVLlxAWFgYzMzNs27atxSWhCfHXpUsXFBUViewsl6KiIri5uWH8+PH45ZdfmI5DCLnU1FTMmTPnkwUnPB4PaWlpOHv2rICSib+IiAj07NkT2dnZ9KprUlJSOHToEGpra+Hr6wsbGxs4OTkhJSUFJ0+eREZGBry8vNC5c2eG0xOiQlFREeXl5UzHINoBOzs7+Pj4IC0tDWvXrqW33nFxcUFQUBAOHjxIb2tKURR4PB7mz5+PvXv3Mpy87ejp6aFLly6N7pOWlsaSJUugqKjIUKrWt2HDBuzYsaPZuURhYSGMjY0xffp0ODk54e3bt/Dx8SFtGNFMt27d4O3tjYMHDyIgIIDpOISIKCoqwuDBg1FaWvrBLXQoisL79++xf/9+AacjRIGUlBRcXFxw5coV5OTkYMeOHYiJiYGjoyPs7Oxw4sQJsS5YysrKIgWgxFcrKirCkCFDEBkZiUePHpEJMQRBEO0Qi/rUFQWCaIeqq6uhpaWFyspKAP/N2HN2dm4205hoH+rr6+Ht7Y3ffvsNysrK2L59O2bOnAkWi8V0NEJA4uPjYWlpiaioKNjZ2TEd54u5uroiPDwcr1+/hpqaGtNxCBFQUFCAo0eP4uDBg6ioqABFUS0WobBYLOjr6yM5ORlSUlIMJBUfwcHBcHFxQV1dXbPVY1gsFhQVFcHhcDBt2jQsXbpUJD+LCOHw119/4eeff6bPcwlCUNhsNq5cuYLDhw/j6dOnYLFYH2xbVq9ejZ07d4rl+fbSpUtx4sQJetsQSUlJpKSkwMDAgOFkrWPjxo3Yvn37B/9vVVRU8PTpU5iZmTGQjhA1U6ZMwbNnzxAbGwslJSWm4xBCbs6cOTh9+jSkpKQ+WHTCJy8vj9TUVGhpaQkoHSHKIiMjcfz4cZw9exZSUlKYOnUqfvnlF1hZWTEdrdXU1NRAUVERV69exdixY5mOQ4iYN2/ewMXFBRRF4c6dOzA3N2c6EkEQBCF4d8hKJwTRAgUFBcycORMyMjIA/is6GT9+PMOpCKbIyMjAw8MDCQkJGDlyJObMmYO+ffvi33//ZToaISCmpqaQlZVFXFwc01G+2KlTp3DlyhX4+vqSghPis2lqasLT0xPZ2dnw9vaGkZERWCwWJCUlGz2PoihkZWXB19eXoaTi4erVq/jhhx9QW1vb4nZFUlJSsLe3R2ZmJk6ePEkKTohvoqamhqqqKrLFDiFw0tLSmDp1KsLDw+Hm5tasTeGjKAp79uyBu7v7Jy8aiqLBgwfTq1lJS0tjwoQJYlNw8ttvv32w4AT47/+2rKyM9KOIz3bkyBHU1NRgw4YNTEchRMBff/2FiIgITJkyBZKSkh8tiudwOPD09BRcOEKk9ejRAz4+PkhPT8e6detw//59WFtbY/z48Xj58iXT8VpFUlISeDweTE1NmY5CiJjAwEA4OjpCS0sLT58+JQUnBEEQ7RgpOiGID/jxxx/p2WccDgcjR45kOBHBNB0dHfj4+OD58+eQkpJCv379MGvWLOTn5zMdjWhjUlJSMDU1Fbmik8zMTCxfvhzLly+Hs7Mz03EIEdShQwcsXLgQSUlJuHHjBmxtbQGg0QAuRVHYuHEj3WYSX+aPP/7ApEmTwOFwWtx3HvhvdYDIyEjIyckJOB0hjvgFiO/fv2c4CdFeVVdX48aNGx8tKOHxePjnn38wfvx41NbWCjBd2xs0aBC9ggubzcavv/7KcKLWsWnTJmzduvWT2/NRFIXffvutxSJLgmhKXV0de/bswR9//IHQ0FCm4xAioEePHjh79iyysrKwbds2aGlptVg8z2azcfz4cbx584ahpIQoUldXx5o1a5CcnIyrV68iIyMD9vb2mDBhAl69esV0vG/y7t07SEhIoGvXrkxHIUTI8ePHMWrUKAwfPhwPHjwgq0cRBEG0c6TohCA+wMbGhp5JbGFhASMjI2YDEUKjR48eCAkJwYULF/DkyROYmJjA09OTzBgWc1ZWViJXdLJ06VLo6Ohg27ZtTEchRJyEhARcXFwQERGB4OBgODs7g8ViQUZGBhRFITc3F6dPn2Y6pkihKAqbNm3Czz///MHtixqqqanBuXPnBJSOEGek6IRgmq+vL6qqqj75PC6Xi4CAAAwdOhTl5eUCSCYYKioqsLGxAQA4ODigd+/eDCf6dvyCk89BURTS09Nx+fLlNk5FiIvZs2dj6NChmD9/vtgVoRFtR1tbG2vWrEF2djZu3LgBJycnuv/CJykpiTVr1jCYkhBVEhISGDduHCIiInD9+nWkp6fDzs4O7u7uKCkpYTreV3n79i309fXJRAfis9TW1mLhwoX48ccf4enpifPnz0NeXp7pWARBEATDWNSnRrgJQkRVVFSAw+GgtrYWNTU14HK5jQYr+Y+3pK6uDtXV1QgODsaxY8cwceJETJkyhX5cTk7ugydSEhIS6NixI/13RUVFSEtLQ1ZWFgoKCvQ+1oR4qKqqws6dO7Fv3z4YGhpi//79ZFUcMbV161acPn0aycnJTEf5LGfPnsXs2bPx+PFj9O/fn+k4hBiKjY3F3r178c8//4DD4UBLSwvPnz+n29b6+vpmFxXLy8s/a2bz5w7Ufaw9bojfFvNJSkpCWVkZAJq1y6qqqp917G/B5XKxcOFCnD59+oOrmzTFYrFgbm5OZmMS3yw3Nxe6urp48uQJnJycmI5DtDMURcHc3Bzv3r37ZLEdn5SUFCwtLREUFAQNDY1WzcPj8VBWVkb/vbq6mi4kpygKpaWlzb7nc9sy4L+CwZYukp8/fx7Xrl3D8uXL0bdvX/p+GRkZdOjQ4bNe+0P9SiUlJXpFMikpKSgpKdGPNW0PW4Onpye2bNnywf9PCQkJSElJgaIoelshAOjVqxfZZof4bOnp6ejevTtWrFiBzZs3Mx2HEFGxsbE4evQozpw5g7q6OvB4PFAU9dFzIv5YIr+9aNhuNG1DGmrYnjSloKAAWVnZZvc3/Fznf93wPkH0U4ivQ1EUrl69il9++QUyMjIIDg5Gly5dmI71RebNm4eMjAwEBgYyHYUQcikpKZg8eTKSk5Nx5swZjB07lulIBAHgv+t9lZWVqKqqatZmN3xOw2uCLfWp+P0pJSUldOjQAR06dCDX84hmqqurUVJSgpKSEtTU1DR6rzUcM2jYx+e/3xQUFKCqqgpVVdUWzwlF2B1SdEIwjs1m4/379/StoqICFRUVKCsrQ1VVFaqqqlBeXo7y8nL672VlZXQDUlVVRV/Y+tDAoLDiN2D8i2ZycnLo0KEDOnbs2KxR43+tqKhI/11ZWRlqampQVVWFmpoaqUZnUFpaGlatWoXLly9jwoQJOHToEDp37sx0LKIVXbt2DZMmTUJ5eflnXwxgyvv372FmZoYpU6bgjz/+YDoOIUD8QdGysrJGnS1+p6q0tBQcDgfl5eV028m/IFZZWQk2m42ysjJwOByUlZWBzWajsrISAOj2Fvj4IKo44Q/0AkDHjh3pC2dKSkp0MSl/0FhZWRmSkpJQVVWli1r4HQt+G8+/8Ldjxw6EhIQ0OpaEhAQkJSUhISEBiqLA4/FaLI59/Pgxvv/++7b/4QmxVV9fDzk5OfqchSAEKSYmBq6urigsLER5eXmjIgQ+SUlJsFgssFgs8Hg8erBGTU0N06ZNg6KiIt1m8dsj/kQD/uSBhu0Xh8NBRUUF/fr8723vGhZgAv9tqcdfAYDftvH7qfz2jN8G8idahIWF0VuesFgsuvCExWJBWVkZWlpaMDQ0hJ6eHgwMDNCtWzcYGxuja9eu0NTUFPwPTYi0gwcP4n//+x/i4uJgbGzMdBxCiHG5XBQVFaGoqAjFxcUoKSlBRUUFysvLUVFRgby8PERGRuLly5eoqKiAkpISunXrhpKSErrNaNp2CJOGxShSUlJQVlaGiooKlJWVoaysDCUlJfrrhverqKigU6dOUFdXh7q6OtM/hlgqLi7G8OHDwWaz8fz5c5G6kDRgwABYWVnh6NGjTEchhNjt27cxa9YsGBoaws/PDyYmJkxHIsRUTU0N0tLSkJ2djfz8fLpdLygoQEFBAYqKilBYWIiKigr6emFbU1RUpK/J8dtSDQ0NaGpqQkNDAxoaGlBXV4eBgQH09fUb9bUI0cHj8ZCWloZ3794hKysLmZmZyMzMRHZ2NjIzM/H+/XuUlJS02ri4goICVFRU6PdO586d6f6zvr4+unXrBj09vVY5lgCQohOidXE4HPqDPzc3FwUFBSgsLERxcXGjwpKGN/5gYFMdO3akCy34naYOHTrQVWANizAazuDid774g2b8AbKmVYv8i0UtabhayZYtW7Bx40b6ohPweauk8PGr2vgX9Rp2XPkVl/zB0urqalRXVzcqsqmurkZpaSkqKytRXV2NyspKlJaWtjiTTEFBoVERSsObqqoqtLW1oaGhAS0tLejo6EBDQ0OkOkCi4NGjR1i8eDEyMjLw22+/4ddff6VnGhKiLTk5GSYmJggNDYWjoyPTcT5q6dKluHLlChITE8kJrgipr6+nT1z5f/K/5hdklpaW0l9XVlY2uo/fTnzMxwoi+O1mS8UTQONVRRq2ofzXqa6uRmRkJMaMGQOg+ezqpt/3MQ0vfH0Mvx39mJYKUj90MbLhqmgNZ0Q0fI2mxTr8Yhx+e19SUkK/TtPnfoyMjAx9gU9BQYEuQu3YsSNUVFSgpqYGDQ0N6OrqNmrr+ZXxDVdZI4hP0dbWxtq1a+Hh4cF0FEKE8D8XS0pK6ALHhreqqiqUlpaipqaG7sNUV1fTs374fRt+O/ah/lRD/LaAX9AgLS2NLl260DOCmhZFSEtLQ1FR8aMrWvHbPb6GM8ebtlP8gsOmmb51NZLa2lr89ddfWLx4caP7P/ffhf8aNTU1ze5v2Fds2jdt2G42XZGs4bH5bVvToh7+97DZbGRlZaGwsBDAf21+XV0dJCQkUFlZ+clVbPj9bf55iLKyMhQVFaGgoABFRUUoKytDXl6ebgv5fyorK9NtI7/t69ixI+lvtRMcDge2trawsLCAn58f03EIAauqqkJWVhby8vKQmZmJ/Px8+qJTwwKTwsLCFrcQlJWVpYsxVFVVoaSkBCUlJdTU1CAlJQXfffcdevbsCSkpKXTs2PGjK400bDf4faemPtZWfGjFrIafy/z+xIdWWuH3T9hsNt0n5I8l8tvZ8vJyuuCmadsiISFBXzDjF6LwL5hpaGhAR0cHurq60NPTg46ODpnk9gVSU1Nha2uLBQsWYO/evUzH+SwURaFTp07YunUrfvrpJ6bjEEKovr4eGzZswN69ezF37lz8/vvvZDsd4pvwL+y/ffsWiYmJSE1NRUZGBn3j9zMAQFpamm6zNDU16SIPdXV1KCsrN5vEzb9+CDTvzzVdbaylIlN+f+pDk+DLy8tRWFhIn3/k5eXRRTANCxFUVFRgYGAAQ0NDGBoawsDAAKamprCwsEDXrl1bfQVK4svl5ubixYsXePnyJeLj45GQkIDExES6n62oqNisEKRTp05QUVGhx2NVVFQgLy/faOJiwxVGG/bb+e+3qqoqety/pKQEpaWlKCgooItc+AUu/LHkjh07wszMDJaWljA3N4e9vT169uwpjCvwkKIT4vOw2Wzk5OQgMzMTaWlpyMnJQW5uLgoLC5Gbm4v8/HwUFhaioKCg0ffJy8tDQ0MDnTp1gpqaGv3nhwoj1NTU6AEnYcHhcIRyEItfnMIv3uFfmGx4a3hfcXExCgoKmhX5NCxG0dHRgZaWFjQ0NKCvr09X0+nr65PilC9QX1+PAwcOYNOmTTA3N8exY8fQp08fpmMRrUBbWxurVq3Cr7/+ynSUD4qLi4OtrS3+/PNPzJ49m+k47RZ/Bl1hYSEKCwuRl5dHF2C2VFRSUlLSbCsa4L9Cj4ZtI3+mmqKiIhQVFaGkpARVVVX6a/6FGhUVFfo+BQWFDw6GEoL1/v171NbWora2lu6wNi0ealhQVFJSQn9dWVlJDxy3tP0Qv1CoYTFKw6IUftGKlpYW3dZraGgI5TkO0fZ69+6N/v37Y9++fUxHIQSspqYGxcXF9I0/UMYvHCkpKaG/blpY8qEZ33JycnRhgKqqKuTl5elBFwUFBcjLy7dYYCAvL09f9JOXl6fbMP7nmbjj8XjNClrESVlZGbhcbovFRzU1NSgvL0dlZSVqamro9q+mpoZu72pqaugB3urqavp7W6KgoEAXoDS8qaqq0oUq/Bn+DWf5d+rUSehXMCQau337NlxcXMgWcWKmtrYWKSkpSE1NRUpKCrKzs5GTk4Ps7Gzk5uYiKyurURskLS0NLS2tRhedGt40NTUbFVOoqqp+sqC9rq5OrMe9ampqUFJS0mimOL9Qp+l9hYWFyM/Pb1Tcr66uDm1tbXTu3Bna2trQ19eHnp4eunbtii5dusDQ0JBcPGvgzJkzmDt3LgIDA+Hs7Mx0nE/iT7J6+vQpGb8kmomLi8PMmTPx9u1b/PHHH3B3d2c6EiFCKIpCcnIyoqKi8Pr1ayQmJtKFJvwCDS0tLXTp0gUGBgb0zcjICAYGBtDT0xOp1bnKysqQlZWF9PT0RkU06enpSE9PR1ZWVqPJFBYWFjAzM4OVlRXs7e1hYWFBxm/bCIfDwb///ovHjx/jxYsXePHiBbKzs8FisWBsbEwXdJibm8PS0hLdunVjfFwiPz8fCQkJSEhIQHx8POLj4/HmzRtkZWWBxWLBxMQEPXv2RK9evTBo0CBYW1s3WjyBAaTohPhPZWUlkpKS6A8//pJBmZmZSE9PR25uLt3ZkJGRgY6ODnR0dKCpqQltbe0WixZ0dXWbzXAmmFddXY28vDz6YmjDoqHs7Gy6c5mVldVoVja/U8m/GRoa0n+amJgw/gEsjBISErBkyRI8fvwYP//8M3bs2PFZM/wJ4TVmzBjIycnh0qVLTEf5IGdnZ1RVVeHp06difSGDCSUlJfTgJ38lr/z8fPozlP+ZWlhY2GxVCxUVFWhoaHy0IKCl+8jMEaIlFEV9sHjpQ4VN79+/R2FhIb1FEl/DGY3a2tr04H3D4hR9fX1oa2uTgWQxMnnyZFAUhcuXLzMdhfgGbDYbBQUF9Hl9w2KSpkUl/L83XRGLxWLRM3Warh7RdGWJpitM8B8T54t0hHDhb//XsECqpVV3Gj6H/3hpaSmKi4ubzfbnF/i2VJDS9KarqwtNTU0y459hQ4cORUVFBZ49e8Z0FOILFBYWIj4+vlFxCf/P3Nxc+nnq6urQ09ND586doaOjAz09Pejq6kJXV5cueNDS0mJ6QF3scTgcemyQv7pMXl4esrKykJubS8/A5a8SKSkpic6dO9NFKPw/TUxMYGZm1i5XZZw8eTJevHiB2NhYoZpc2ZJLly5h+vTpKC8vJ+OWBI2iKJw4cQLLly+HtbU1fH190a1bN6ZjEULu3bt3eP78OaKiohAVFYXo6GiUlZVBSkoK3bp1g7m5OczMzGBmZkZ/LYSrNbSZqqoquuiGX0zw9u1bvHnzBnV1dVBQUICNjQ169OhBr2ZhZWVFxvi/0ps3b3D//n08ePAAjx8/RkVFBTp37ozevXujZ8+ecHBwgIODg8idp+Tn59OFMxEREfj3339RXFwMTU1NODs7Y/DgwRg+fDj09fUFHY0UnbQntbW1SE5Oxps3b5CSktLolpqaSi+Bq6qqSi+j2LVrV3Tt2rXR3w0NDUm1XTvBv8Cam5tLv1ca/j09PZ1eElRVVZV+v7R0a68oioKvry+WLVsGTU1NnDlzhswaEGHbt2/H8ePHkZ6eznSUFt27dw8jRoxAWFgY+vXrx3QckVJSUtLoM67hZx2/0KTp/qD89lJVVRW6urof/Lpz586ftVUMQQgCf5Yj/33+sa+bznBseo7I/7rhfaQIVTSsXLkST548wfPnz5mOQrSAfw7e8Heypd/TgoKCZsvzN2ybWro1bKNUVVWhqalJVjwi2hV+O8i/NfzdaumWk5PTbJs+OTm5j5778dtFcg7YNqKiouDg4IDbt29j5MiRTMchmsjJyaHHHePi4vDmzRvExcXRhSUyMjJ0cULTm4mJicgN+rd3/H50wxv/vOXNmzf0cvKqqqqwtLSElZUV/Se/MEVcC4iKiopgYWGB2bNnC/02O//73//g7++PmJgYpqMQQiI9PR1z585FSEgINm3ahDVr1pA+A9GilJQUBAUFITQ0FE+ePEF6ejpdYNKjRw/6Zm9vT4raPoLD4SAxMRGRkZH07eXLl6iqqoKSkhJ69+4NR0dH9O/fH05OTmTix0fExcXBz88Pfn5+ePPmDRQVFdGnTx8MGTIEQ4YMQY8ePZiO2Cb4v4tBQUEICAhAeXk5LC0tMXnyZEydOhXm5uaCiEGKTsRRaWkpYmNjERcXh9evXyMuLg7x8fH01jeSkpL06hT8m6mpKUxMTGBkZERm7RCfjc1mIyMjA0lJSfTt3bt3SEpKQmpqKj2bWkVFBWZmZrC2tkb37t3RvXt3WFtbQ1NTk+GfQHDy8vKwcOFC+Pv7Y+nSpdi9ezc5ORBBQUFBGDp0KLKysqCnp8d0nGZ69+4NTU1N3Lp1i+koQoXL5SIrK4susmx4S0tLQ35+fqOLdlpaWtDR0aH3a9TV1YWBgQF9n46ODtTU1Bj8iQhCMOrq6lBQUIDMzEy6+Io/uzEjI4Ne7rzhyj5KSkrQ19enB5Gb3pSVlRn8iQi+w4cPY/v27cjPz2c6SrtSX19P/x7xl9bNzs6mv87NzUVBQUGjYi85OTloamrSKyzwV5lseB9/ZSKyyiRBtI2qqioUFRUhJyen0WqhBQUFdAEYfzXRplsA8VcP4+8F3rlzZ3ob286dO0NfX5+sbPcVXFxc6D3YxfWCtbCrr69HTEwMPZM5KioKcXFx9O+AlpYWvUx5w+XKO3fuzHByQlC4XC7S09PppeATExMRFxeHhIQEuphPVVUVNjY2sLe3p29mZmZiM9nxxIkTWLx4MZ4/fw57e3um43zQsGHDoKuri9OnTzMdhWAYl8vF4cOH8dtvv8HAwAC+vr5ie4GW+DoFBQW4e/cu/P39ERQUhJKSEnTs2BGOjo5wcnKCk5MTHBwcyHWPVsDlcvH69WuEhITgyZMnCAkJQUFBATp06IDvv/8eo0ePxqhRo2BoaMh0VMZlZmbi1KlTOH36NNLS0mBkZITx48djwoQJ6NevX7tbKaaurg4PHjzA1atXcePGDRQVFeG7777D3LlzMXPmzLacMEiKTkQZl8tFfHw83bHjF5hkZmYCAJSVlWFlZQVra2tYWFigW7dudGEJmW1DtDUul9uoIIU/u+X169coLi4G8N8AXMNCFFtbW3z33Xdi+/6kKArHjx/HypUr0bVrV/j6+uK7775jOhbxBcrLy6GqqopLly5h4sSJTMdp5Nq1a5g4cSIiIyNhZ2fHdByBq66upvcF5ReU8ItMMjIywGazAQDy8vKNlvs1MjKiZ6LyC0pIx4ggvkxxcTFycnLo4pTMzMxGv4O5ubn0inqdOnWiC1AaLr9tZmYGAwMDhn+S9uPGjRsYP348KisryWyjVlRUVES/77OyspCZmYmMjAx6Cfq8vDz6d0FGRoZufwwNDaGnpwc9PT268FFTUxM6OjpkxjdBiJiqqiq6KCU/Px+5ubnIy8tDRkYGMjMz6c+GhgWb6urqdAFKw+IUIyMjGBsbQ0dHh8GfSDiR1U4Ei8Ph4OXLl42Wy4+NjQWbzYaioiJsbW1hb28Pa2trWFpawsLCgqx+R3xUbm4u4uPjkZCQgJcvXyIqKgoxMTGor69Hhw4d8N1339FFKL1794aFhYVIFphRFIUBAwaAzWYjPDxcaH8GDQ0NbNiwAR4eHkxHIRj06tUrLFy4ENHR0VixYgU2b95MxscIAEBsbCyuX7+O27dv48WLF5CWlsaAAQMwcuRIfP/997CxsRGbYkFhl5CQgCdPniAgIACBgYGoqKhA9+7dMWrUKIwZMwZ9+/YV2ramtfF4PNy8eRMnTpxAQEAAOnXqhFmzZmHq1KmkWK4BLpeLx48f49y5c7h48SI4HA4mTpyIRYsWwcnJqbUPR4pORElOTk6j5ZXCwsJQUlICaWlpmJqaNlqikN/Ja28VXIRoKCkpabTMamRkJF69eoXKyspmy6/1798fdnZ2YvVeTklJgbu7O168eIF9+/ZhyZIlTEcivoCDgwN69uwJb29vpqM00rNnTxgaGuLy5ctMR2lT/OV7GzSkjMoAACAASURBVH6GvHnzBmlpafTM8I9t92VkZCRWnycEIQrq6+vp1Yaa3pKTk+mZjrKysjA2NqaX2+af11pYWJDCiFYWHx8PS0tLREdHw9bWluk4IqVpO9TSexn4/21RS1tSkS1LCYJoupVt06/T09PpFSNkZWWhp6fX4rlte24jR44cifr6egQFBTEdRexUV1cjKioKYWFhCA0NRWhoKEpLS6GkpAQbG5tGy+Wbm5uT9oxoFS1tLRAdHY3q6mooKyujV69eIrm1wKtXr2Bvb4+LFy9i0qRJTMdpJiUlBcbGxggJCUH//v2ZjkMwoLy8HJs3b8bhw4fRr18/+Pj4CGobBkKIZWVl4cqVK/Dz80NYWBg0NTUxfPhwuLi4YPjw4WQVWyHA5XLx9OlT3L59G0FBQYiMjIS+vj7Gjx+P2bNnC/UKW9+CzWbj/Pnz8PLyQmJiIpydnbFw4UKMHTtWbCezt5aKigpcu3YNf//9N4KCgmBvb4///e9/mDRpUmsVK5GiE2HFZrPx/PlzPHz4EOHh4Xjx4gWKioogJSUFKysr9OzZEz179kSvXr3QvXt3sqceIfJ4PB7evn2LFy9e0LeXL1+itrYWysrK6NGjB/r27YuBAwfC0dFR5AfWKIrC7t27sX79eri4uODUqVNkJpCI2LhxI86cOYOMjAymo9AeP36MgQMH4unTp+jTpw/TcVpFaWkpXr58iejoaLx+/ZpejresrAzA/9+2y8LCAmZmZjAzM4OlpSW6du0KaWlphtMTBPElioqKkJCQgISEBCQmJtKzHtPS0sDlciEpKQkjIyOYm5vTK6PZ2dnB1NSUFJF9JQ6HAyUlJfj4+GDWrFlMxxE6BQUF9BalcXFxSEpKQkpKCtLT0+mVs5SVlWFsbIyuXbs2+tPY2Bj6+vqkf0YQxDehKArZ2dl0UVtycjL9dUpKCoqKigAAEhIS9LZ2JiYmMDc3pws2xX0FsYCAAPzwww949eoVbGxsmI4j0urr6xEaGop79+7h8ePHiIqKAofDgZGREZycnOgl80V1tQlCdHE4HERHRyM0NBQhISEICwtDQUEBFBQU0KtXLzg7O2PEiBGwt7cX6n6Bm5sbnj59ivj4eKG7IHbq1Cn89NNPKCkpgZycHNNxCAHicrk4deoUNm7cCDabjV27dmHevHnkc74dq6urw/nz53Hy5EmEhYWhU6dOmDx5MqZPnw5HR0fy3hByMTEx+Oeff3D+/HlkZGTAxsYGc+bMwZw5c8RiBVUul4sTJ05gx44dyM/Px4wZM7B69WpSJPeVwsLC4OXlBX9/f1hbW2PLli0YO3bst74sKToRFlwuF5GRkXj48CEePnyI0NBQVFVVQV9fH05OTnSRiZ2dnchfbCeIz8VmsxETE4Pnz5/jxYsXCAsLQ2JiImRkZNC7d28MGjQIgwYNQp8+fUS2Y/To0SPMmDED0tLSuHDhgtgUDIiz8PBwODo6Ij4+XmhOasaNG4eioiKEhoYyHeWrZGdnIzo6mi4yiY6ORmpqKgBAU1MTtra2sLCwgLm5OV1ooq2tzXBqgiDaWl1dHd6+fduoGCU2Nhbx8fH0cu42Njaws7OjC1Gsra2FbiBXWNnZ2WHIkCHYs2cP01EYk5eX16i4hL+CFn8rSFVVVVhaWsLU1LRZYYm6ujrD6QmCaM/KysoaFaLwb3FxccjPzwfwX3GchYUFXYTSvXt3WFhYiM2+7xRFwdLSEk5OTjh+/DjTcUROdnY27t69izt37iAoKAgVFRUwNzfHkCFD6CITPT09pmMSRDOJiYkICwtDSEgIgoKCkJWVBU1NTYwYMQIjRozAsGHDhG5SV2pqKiwsLHDo0CEsWrSI6TiNzJo1C9nZ2Xjw4AHTUQgBevjwIVasWIHY2FjMnTsX27Ztg4aGBtOxCIbk5OTA29sbx48fR2lpKSZMmAA3NzcMGzaMTOwTQTweD2FhYTh79izOnTsHFouF2bNn4+eff0a3bt2YjvdVgoODsWzZMiQmJuLHH3/EypUroa+vz3QssfD69Wts374dfn5+GDx4MA4ePAgrK6uvfTlSdMKkwsJC3Lx5E7du3cLDhw9RXl4OHR0dDBw4kL6YbmJiwnRMghAqOTk5CA4OxqNHj/Dw4UOkpKRATk4Ojo6OGDNmDMaOHStyg2j5+flwc3PDkydPcPjwYaHrgBKNcblcaGlpYf369Vi+fDnTcZCWlgZjY2OhXaq1qZqaGjx//hwhISEIDw9HZGQkCgoKAABdu3alLxzzLyKTgU6CIJqqq6tDbGwsoqKiGq2IVFVVBWlpaVhaWqJPnz708ttdunRhOrJQmjVrFgoKCnDv3j2mo7Q5/op6ERERiIiIQHR0NGJjY/H+/XsAgJqaGr1FKf9mZWUFHR0dhpMTBEF8uffv39OFdPxbXFwccnNzAQBKSkowNzeHvb09HBwc4ODgACsrK5G8qHDw4EFs2rQJubm5ZILWZ0hJScG5c+dw+fJlvHr1CgoKChg0aBBGjhyJESNGkHMmQiS9evUKd+/exd27dxEeHg6KotCvXz+4urpiypQpQnMhfdGiRQgKCsLbt2+FaksqQ0NDLFiwABs2bGA6CiEAr1+/xoYNG3Dr1i2MHDkS+/btE5oJdYTgpaamwtPTExcuXICKigoWLVqExYsXk36wGCkrK8OpU6fwxx9/IC0tDSNHjsTWrVtFZpvloqIiLFmyBH5+fhg9ejT27dsnsoUzwi4sLAweHh549eoVPDw8sH379q/ZypAUnQhacnIyrl+/jhs3biA8PBwyMjIYOnQohg8fjkGDBsHCwoLpiAQhUtLT0/Ho0SMEBATg7t27KC0thZ2dHcaNG4exY8fiu+++YzriZ+HxeNi8eTO2bt2KhQsX4vDhw2SmthCbNm0aiouLcf/+faajYMuWLThy5AiysrKEcqC4qKiInoUUHh6OiIgIsNlseiUvBwcHusBERUWF6bgEQYgoLpeLd+/eITo6GlFRUXj69CkiIiJQV1cHPT099O/fn561a21tLVQDvUzZs2cPDh48iOzsbKajtLqkpCS6wCQyMhJRUVEoLy+HjIwMbGxs0KNHD3Tv3p0uLtHS0mI6MkEQRJsrKSmhC1Di4uIQFRWF6OhoVFVVQU5ODra2tnBwcECPHj3g4OAACwsLoW8vCwoKoKenh7///htTp05lOo5QKigowKVLl3Du3Dk8e/YM6urqmDx5MlxcXDBgwADIy8szHZEgWk1paSnu37+Pmzdv4saNG6itrcXQoUMxffp0jBs3DoqKioxle/v2LSwsLIRqwlBSUhJMTU0RGhoKR0dHpuMQbejt27fYtGkTLl26BFtbW+zcuRPDhg1jOhbBkPz8fGzbtg3Hjx+HoaEh1q1bh2nTpn3NBWZCRPB4PNy+fRvbt29HREQEXF1dsXXrVqFe9CAwMBDu7u6QlJSEj48PRowYwXQkscfj8XDy5EmsXLkSRkZG+Oeff9C9e/cveQlSdCIIhYWF8PX1xZkzZxATEwM1NTWMHj0aY8eOxfDhw9GhQwemIxKEWKivr8fjx49x7do13Lx5E9nZ2ejSpQvc3Nwwd+5cGBkZMR3xk/z9/TFjxgxYWVnhypUrZAsRIXX27FnMmzcPOTk56NSpE2M5KIqCqakpxowZg/379zOWoyH+7+Ht27cRGBiIhIQEsFgsWFlZNbroK+57zBMEwbza2lq8ePECoaGhCAsLQ1hYGEpLS6GsrAwnJyeMGjUKI0eOFLkV0lpLQEAAfvjhBxQVFTHaln0r/jal/JXw/v33X5SWlkJKSgrdu3enL546ODjAxsaGFPUSBEE0wOVyER8fj8jISLpY79WrV6ipqUGHDh1gb2+PgQMHwtnZWWi3tR05ciQkJSVx69YtpqMIlaCgIBw6dAj37t2DnJwcxo0bh+nTp2Po0KGQkpJiOh5BtLnq6mrcuHED586dQ0BAAKSlpeHq6oply5YxNkFtwoQJyMvLQ3h4OCPHb+rEiRNYtmwZSkpKyDmymEpNTcW2bdvg6+uLbt26YfPmzZg4cSJYLBbT0QgGcLlc7N27F1u3boWKigo2btyIuXPnCuUkRqJtUBSFa9euYcOGDUhKSsKSJUuwY8cOoVoxkKIobNiwATt37oSrqyu8vb2Fbts8cZeamgo3NzdERUXh2LFjmD179ud+Kyk6aSs8Hg/BwcE4ceIErl+/Dnl5eUyfPh2TJk3C999/Tzp4BNHGKIpCREQELl++jL///hv5+fkYOnQo5s+fjzFjxgh1ZyouLg7jxo1DbW0tbty4AXt7e6YjEU1UVVVBW1sbXl5e+OmnnxjLERYWhv79+yM6OprRZfHy8/Ph7+8Pf39/BAYGoqKiAjY2NhgxYgScnJzg6OhIVjEhCIJxPB4PcXFxCAkJQXBwMO7fv09/Xo0aNQqjR49G7969hX5Wd2vJzc2Frq4ugoKCMHjwYKbjfDYej4eYmBg8fPgQwcHBePz4Mb1N6aBBg9CvXz/06NEDtra2QnlxlCAIQthxOBzExcUhIiICT58+xaNHj5CcnAx5eXn07dsXzs7OGDRoEHr16iUUY1unTp3C0qVLUVxc3O5X7aivr8eFCxewf/9+vHr1CgMHDsSiRYswZswYobqYQBCCVlxcjIsXL8Lb2xuxsbEYMmQIVqxYgR9++EGgF98DAwMxbNgwxMfHC8WWJjNmzEBhYaFQrOJLtK6YmBjs2rULFy9ehKGhITZt2oTp06e3m74u0Vx8fDzmzJmDV69eYcOGDVixYkW7P29qz7hcLv766y+sXr0anTp1wl9//YX+/fszHQtsNhvz58/H+fPn4e3tjXnz5jEdqd3icDjYuHEjdu3ahW3btmHdunWf822k6KS1VVVVwcfHB0eOHEFKSgocHR0xf/58uLq6kg4eQTCEw+Hg9u3bOHHiBAICAtCpUyfMnz8fy5YtE5q9XZt6//49pkyZgmfPnsHPzw8//PAD05GIJtzd3fHmzRs8f/6csQxr1qzB9evXkZiYKPBjZ2dn0/uBR0REQEZGBoMGDcLo0aMxatSodrtyAEEQoqPhykz+/v5ITk6Guro6Ro0ahenTp2Pw4MFiPyhnbGyMmTNnwtPTk+koH/X+/Xv4+/vj1q1bePjwIb06y4ABA+iLn5aWlkzHJAiCEFvp6el0sV9wcDCys7OhqKiI77//HqNHj8aYMWOgp6fHSLbs7Gzo6+vj7t27GD58OCMZmMbhcODt7Q0vLy8UFhbC1dUVK1asIBNYCKIJiqJw//597N+/H4GBgbCwsMCWLVswceJEgRyfx+PByMgIs2fPxtatWwVyzA/hcDjQ0tLCunXr8OuvvzKahWg9oaGh2LVrF/z9/WFlZYVVq1Zh+vTpQlEkSjDn6NGj+PXXX2FtbY3Tp0+TvjNBy8nJwaJFi3Dnzh2sWrUKO3bsgISEBCNZ2Gw2xo0bhydPnuDy5cvt9rxe2Bw9ehS//PILfv75Zxw4cOBTT78DimgV1dXV1Pbt2yl1dXWqQ4cO1C+//ELFxsYyHYsQMufPn6cAUAAoWVlZpuO0SxkZGdSmTZsoDQ0NSkFBgVq+fDlVVFTEdKwWsdlsasGCBZSkpCTl7e3NdByiieDgYAoA9fr1a8YyWFhYUMuXLxfY8erq6qhz585RgwcPpiQkJChVVVVq3rx51PXr16nKykqB5fgcHTp0oD9v+TcWi0WpqKhQNjY21OLFi6mIiIivem0/Pz/K1taWkpeXp187JiaGys3Npdzc3CgdHR36/hkzZrTyTyZ8Wvq3btjWWVtbU3/88QfF4/GYjtom3r59SwGgevfuzXQUoSfs50Fv3ryhdu/eTfXp04cCQOno6FArV66kkpKSmI7WZmbPnk05OzszHaNF79+/p44dO0YNHjyYkpKSomRkZKhhw4ZR+/bto6Kioigul8t0RKIVCPvngqjas2cP/e+qp6fHdBxCDCUmJlLe3t7UxIkTKUVFRYrFYlG9evWidu/eTWVlZQk8T/fu3akVK1YI/LjCICgoiLKysqJkZWWpFStWUJmZmQI9flv2u8SRlpZWs3+v+Pj4Rs+ZOHEiBaDZ79L69esbfd/OnTvbNKu4tyUxMTGUm5sbxWKxqMGDBwtsHH/NmjWUkZGRQI71MYGBgRQAKjk5mekoxDeqq6ujLl26RDk6OlIAqB49elCXLl0S2zEY4vNxuVxqxYoVFIvFojw9PSk2m810JIER9zastZ06dYqSk5OjJk6cSFVXVzOSYe7cuZSSkhL1/PlzRo5PfNiFCxcoCQkJav/+/Z96qj8pOmkF586do/T19SlFRUVq48aNVGFhIaN5KioqKBMTE2rUqFGM5iA+bPDgwWRQlWFVVVXUgQMHKC0tLUpVVZXav38/xeFwmI7VDI/HozZt2kQBoH755RfSYRAiPB6P6tq1K7V69WpGjp+SkkIBoAIDA9v8WEVFRdSmTZsobW1tSkpKiho3bhx19epVqra2ts2P/S2io6MpANTYsWMpiqIoDodD5eXlUdevX6cGDRpEAaDc3d2pqqqqRt/3sXY0PDycYrFY1KpVq6iKigoqKSmJ6ty5MxUTE0MNGjSI0tPTo16/fk2Vl5dTq1atahdFJxTV/N+aov4b+IiOjqYHPlatWsVgwrazdu1auiMbFxcnkGOK+rmeKJwHvX37lvrtt98oAwMDSkJCgho5ciQVFBTEdKxW9+eff1Ly8vJUXV0d01EoivpvUOzOnTvUhAkTKFlZWUpeXp5ydXWlzp8/T5WWljIdT2wJw2eKKHwuiKLvvvvuswZZheE9QIiumpoa6tatW9T8+fMpVVVVSkJCghoyZAj1zz//CKx9WbRoEeXk5CSQYwmL7OxsujjBxcWFevfuHWNZvrbfJaza+jPx+PHjFABq2bJlzR7jcDiUiooKBYA6efJks8eLi4spFRUVqr6+/ouO+S0/U0ttiTi1G0+fPqV69uxJSUlJUR4eHm3+Pn327BkFgHrz5k2bHudTlixZQtna2jKagfg2eXl51JYtWygdHR1KSkqKmjRpEhUSEsJ0LEJI1NfXU66urpSsrCx17tw5puMw5nP7QwRFhYSEUGpqapSjoyNVUlIi0GPv2rWLkpSUpPz9/QV6XOLz7dmzh5KUlKRu3779saf5M7NOjpjIz8/HuHHjMGPGDAwfPhzv3r3Dli1boK6uzmguiqLA4/HA4/EYzSGqFBUVhWL/MnEijP+mCgoKWLZsGd69e4fFixdj7dq16N+/P96+fct0tEZYLBY8PT3x119/wdvbG+7u7mCz2UzHIvDf/42bmxt8fX1RV1cn8OM/efIEcnJy+P7779vsGGVlZdiwYQO6dOmCI0eOYN68eUhJScG1a9cwfvx4yMrKttmx24KkpCS0tLQwduxYBAcHY/Xq1Th9+jSmTZsGqsFugx9rRy9evAiKouDh4QFFRUUYGxsjMzMT2traePjwIcaNGwdra2soKSlh165d8PX1FeSP+M1a8/NaRkYGtra2OH/+PCQkJHDgwAG8f/++VV5bWPB4PPj6+sLOzg4A8NdffwnkuORcr+2Zmppi8+bNSElJwZUrV1BXV4chQ4bAyckJjx8/Zjpeq/n+++9RU1ODyMhIRnPU1tbiyJEjsLCwwKhRo/D+/Xt4e3sjLy8PFy9exNSpU9GxY0dGM4oz8plCkPcA8S3k5OQwevRonDhxArm5ufDz80OHDh0we/ZsGBkZYdu2bSgpKWnTDHZ2doiOjm437+Hg4GDY2dnh1atXuHv3Lm7evAkTExOmY9E+t98lrNr6M5G/ffK9e/eaPfbvv/+ivr7+g48HBgZiwIABkJaW/qJjfuxn+po+YGv8GwnLWGGfPn3w7NkzHDt2DGfPnkWvXr2QkJDQZsdzcHCAmpoa7t+/32bH+BSKonDz5k2MHz+esQzE16EoCsHBwZg+fToMDQ1x6NAhzJ49GykpKfDz8xOK3ylCOKxatQr+/v64d+8epk2b1ubHa83PdGFpHz6XqOX9kP79+yMsLAxpaWlwc3MT2Hl1fHw8Nm7ciN27d2PkyJECOaYoELb31cqVK+Hm5oYFCxagvLz8g88jRSdfKTo6Gj179kRMTAwePnyIEydOQFtbm+lYAAAlJSUkJyfjzp07TEchCKGnpKSE7du3IzIyEhwOB7169RLK3x13d3f4+/vj+vXrGDFiBMrKypiORABYvHgxSktLcebMGYEf+/nz57Czs4OMjEybvP6lS5dgYWEBHx8frF+/Hqmpqdi2bRv09fXb5HhM8PLyQu/evXHz5k1cuHCBvv9j7WhmZiYAoFOnTp+8n8ViMbYPpjDR19eHjo4OOBwOXr16xXScVnX//n1ISUnh+PHjAIC///4bHA6nzY9LzvUER1JSEuPGjUNQUBDCw8OhoKCAgQMHws3NDfn5+UzH+2ampqbQ1dVFSEgII8fn8Xg4ffo0unXrhtWrV2PgwIF0/2rOnDlQVlZmJFd7Qz5TCPIeIFqLrKwsJkyYgOvXryMlJQWzZs3CgQMHYGxsjN27d6O2trZNjmtnZ4fKykqkpqa2yesLk4sXL+KHH37AwIEDERkZSRcwCLMP9buEVVt/Jurr68PCwgIJCQnIyMho9FhAQAB+/PFHKCoqIigoCFwut9njw4cP/+JjtvbPJG7thoSEBObNm4eoqCj6Is/z58/b5FiSkpIYNGgQHjx40Cav/zmePXuGrKwsTJgwgbEMxJfJycnBzp07YWpqisGDByMlJQVHjhxBZmYmdu7cKVZjdcS3O3fuHA4fPoyTJ09i4MCBTMchRIi5uTlu3bqF4OBgeHp6CuSYK1asQPfu3eHh4SGQ4xFf78CBA+BwONi8efMHn0OuhHyFly9fwtnZGUZGRvj3338xYMAApiMRBPGNrKysEBYWhokTJ2LMmDG4dOkS05GaGTp0KEJCQpCQkAAnJyf6IjfBHG1tbcyaNQu7du0SyIXmhp4/f45evXq1+uvW1dVh/vz5mDp1KoYMGYL4+HisWbMGioqKrX4sprFYLCxduhQAcPTo0c/6nqaDfk3vZ7FYrRNOzPBnNMrJyTGcpHWdOnUK7u7ucHBwgI2NDfLz88Vm4JVorm/fvggICMCtW7cQFhaG7t27Izg4mOlY36x///549OiRwI+blpaGwYMHY8GCBRgxYgTevXsHHx8fWFlZCTwLQRAE0fr09fXh5eWF9PR0rFmzBtu3b6f73a3NyMgIAMS+j3znzh3MmDEDP/30Ey5cuCAyxZlf0+8Sdx9a7eTevXtwcXGBs7Pz/2PvvMOiOr7//156b9KRqgiIqIAiKnal2dBEo1E/xqgxxhI1xeSTGPNJjzHRGE3yiyYxxmjUGAsWRAQNoERaRGlK7733Bc7vjzx7vyIL7sJeLiz39Tz32eXeu2fOXObOmTNzZgaVlZWdAh+Cg4MHRKDRQMXKygphYWHw9PSEt7c3kpOTWUln/Pjx+Oeff1iRLQnnzp3D8OHDMWrUKM504Hk6jY2N+P333zFv3jxYW1tj7969mDdvHu7fv4+oqCisXbsW6urqXKvJ08/Iz8/HSy+9hNdeew3PPfcc1+rwDEBcXV3xzTff4KOPPkJUVBSrad28eRNBQUE4ePAgFBUVWU2Lp/fo6+vjo48+wjfffIOioiLxN7G3w498UlBQQIaGhuTv799v9j5/nHPnzhEA5mhsbGSuNTU10a5du8jBwYHU1dVJX1+f5s2bRxcuXKDW1tYep5GSkkJLliwhAwMD5lxpaSkREZWUlNCWLVvI2tqalJWVydDQkBYtWkTx8fGMvC+++IL5nYWFBd29e5dmzpxJWlpapK6uTtOnT6eIiIhOekgim4hIKBTS77//TrNnzyYTExNSU1OjUaNG0f79+6mtrU2sHo8fioqKPUqXiCg5OZkWLlxIOjo6pKGhQV5eXhQeHt6rPcsfl6murk7jx4+nwMBAmjVrFqPz2rVr6cMPP2T+njx5MvP7q1evMueHDBnS4+cqSXmS9Jn2NzZv3kwqKioUExPDtSpiyczMJEdHR7KxsaHU1FSu1Rn0pKenk5KSEh0/frzP0mxrayM1NTX65ZdfZCq3sbGRpk6dSvr6+nKxh+KTe4uLIzMzkwCQkpIStbS0dGlHnzwvyREWFkZEktWrsratT8rLzMykpUuXkq6uLhkYGNDcuXMpLS2Nub+39XV3zzo7O5sEAgHp6OhQdXV1h2tlZWW0fft2srOzI2VlZdLT0yNfX18KDQ3tJEeSe5/Md1ZWFi1dupS0tLTIwMCAVq5cSRUVFZSZmUnz5s0jLS0tMjU1pXXr1lFNTY1EeRVRXl5OampqlJGRQURE+/bt6/IZSNoGk+S+7tp6RJK3E6QtIyK4bgf1F2pqaiggIICUlZUpMDCQa3V6xU8//USqqqpSvwO94ebNm6Sjo0OjR4+me/fu9Vm6fYGs63MRbPkAkto9NvIhq3rhcfugoqJCFhYWNGvWLPr555+poaGBiCT3CaXJd3f0xMdlQ8cn9zD/9ddfO9n67777TqIyIKmdkLSsSoq0fqesn7cIScoZkWz9aXkjNzeX5syZQ0pKSjL3Y9rb20lVVbVPfbK+Ji8vj3R1dWnNmjVcq9KJnvhdRJK9h5WVlZ3qrQ8//JD5/ePnn3nmGSLq3fslqV2UtE7siqCgIAJAixcvZs6Vl5eTjo4ONTc306FDhwgA7d69m7l+//59sre3Z/7uqd0Q5UlSH/BJW9LbvueB0FfY1NREkyZNIkdHR1b6/y9dukQCgYAqKytlLvtptLW1kZWVFe3cubPP0+Z5Om1tbRQaGkpr1qwhHR0dUlJSIj8/Pzp58mQn35+HRxwvv/wy2draUlNTU5+kJ2mdLkmfniSypG3DP2nDJEVW9oyttk5fMH36dJo5cyaraaxdu5bGjx/PahpE8jemyqUv2djYSHp6evT111+Lu3yZDzqRkmeffZaGDx9OdXV1XKvSLQsXLuzUBTDnOQAAIABJREFU8F+3bh3p6upScHAwNTQ0UFFREb3++usE/N/AWE/SmDZtGoWFhVF9fT1FRUWRoqIilZaWUkFBAVlbW5OJiQldvnyZamtr6cGDBzRt2jRSU1Oj27dvd5A3ZswY0tTUpIkTJ9Lt27eprq6OoqOjafTo0aSiokI3b95k7pVGdmBgIAGgTz75hCoqKqi0tJQOHDhACgoK9Prrr3fKl6amZocK5XGkSffRo0ekp6dHFhYWFBwcTLW1tZSQkEDe3t5kY2PTo05VcTIfPHhAs2fPJiMjI7Eyu8qPu7t7pwpSmvxJU566e6b9kba2Npo5cya5uLiIbaz0ByoqKmjSpElkYGBAd+7c4VqdQc/KlSvJycmpz8pLfn4+AaDw8HCZyl21ahUZGBhQYmKiTOVyhSSdn42NjUzjraCggDkvzo4+eb69vZ3a2tqotbWVoqKiCADt2rWLhEIhCYVCam9vl9oWytq2iuQtXLiQsa3Xr19nGthP0tP6Wtyzbmlpofj4eJo8eTKpqKjQsWPHOvymsLCQbG1tycTEhAIDA6m6uppSU1Np8eLFJBAI6PDhwz269/F8L168mGJiYqiuro6OHTtGAMjPz48WLlxI8fHxVFtbS99//z0BoO3bt0uV52+++YZmzJjB/F1aWkrKysqkpKRExcXFHe6V1GZKY1vFldGetBOkKSNct4P6G+3t7bR+/XrS0NAY0PVmWVkZKSkp0enTp/skvZiYGNLQ0KClS5f2WUcYF8iyPmfbB3hc367sHlv56G29ILIPpqamFBgYSDU1NVRUVMR0Fu3bt4+IpPcJn5ZvSZHGx2VDxyc7WVtbW2nHjh00Z84cqqioECuvqzIgiZ3oSVl9GtLYRraet6TljC1/Wp5ob2+nt99+mxQUFOjMmTMylW1ubk779++Xqcz+xAsvvEDDhg3rl4OOPfW7pHkPfXx8SEFBQWxgx8SJE+m3335j/pbF+yWLOrE7GhsbSV1dnXR1dUkoFBIR0e+//07z588nIqK0tDQCQBMmTGB+s3fvXtq8eTPzd0/txpN5epoP2NWAXW/7nvt7X2F2djZpamrSl19+KXPZoiAsLvrzrly5QgAoKSmpz9PmEU9bWxuFh4fT1q1bycLCggDQyJEj6bPPPqPCwkKu1eMZQNTX15O2tnZXg8Gs0l2dLm2fXneypLV9PQ06kZU9Y6ut0xcEBQWRQCCghw8fsiK/paWF9PT0GF+KLeRxTJVrX/LFF18kT09PcZf4oBNpyM7OJkVFRTp79izXqjwVcQ1/W1tbmjRpUqd7R4wY0augkytXroi9vnr1agLQqTIsLCwkVVVVcnd373B+zJgxBKBT9FdCQgIBoDFjxvRIdmBgIE2fPr2TfitXriRlZeVOs667e5mlSXfJkiUEgP74448O9+bn55OqqmqPOty6kllSUkIaGhq9riClyZ805am/O5LiSExMJIFAQMHBwVyr0iV1dXXk6+tLWlpadO3aNa7VGdQkJiaSgoJCp3eTLW7fvk0AKCcnR2Yy7969SwKBgC5evCgzmVwjSednQ0NDj4NOHic6OrrTTDQi6W2hrG2rSN6TKzE8++yzBHSerd3boBNxx6JFi8Q6TC+88AIBoJMnT3Y439TURObm5qSurk5FRUVS3/t4vp9cscfZ2ZkA0K1btzqct7W1JQcHB6ny7Obm1imQZtGiRQSA9u7d20m+JDZTGtsqriz2pJ0gTRnhuh3UH2ltbaVx48bRggULuFalV0yfPp2WL1/OejptbW3k5uZGM2fOlNuZ/CJkWZ+z7QM8rm9Xdo/NfPSmXhDZh1OnTnW65uvr2yHoRBqf8Gn5lhRpfFw2dHy8k7WyspJ8fHzo1VdfFfv+Pa0MSGInelJWn4Y0tpGt5y1pOWPLn5ZHNmzYQCYmJlRVVSUzmTY2NrRnzx6ZyetP1NTUkLq6Oh05coRrVcTSU79Lmvfw2rVrBIBeeeWVDvdGRESQhYUFs3oKkWzeL1nUiU/Dx8enw2SSNWvW0MGDB5nrw4YNIwUFBSovLyciojlz5tClS5eY6z21G2wGnchbX+Grr75Kjo6OMpfb3NxMAOj8+fMyl/00Fi9eTNOmTevzdHk6IhQKKTg4mDZs2EDGxsYEgEaNGkW7d+/mA4J4esyNGzcIAOXm5vZ52t3V6dL26T0tiEMa29fToBNZ2TO22jp9QWtrK+nq6tK3337LinxRgG1sbCwr8kXI45gq177kzz//TBoaGuIu8UEn0vDbb7+Rqqpqn7/cPUFcw3/jxo0EgNavX0937tzpdUevKI2ysjKx13V1dUlBQaFTRU/070DNkwZQNCtJHObm5h0cU2lli0O0TNGTs8K7e5mlSVdbW5sAUG1tbad7XVxcetTh1p1MNze3XleQ0uRPmvI0EBxJcYwaNYreeecdrtXolubmZlq2bBmpqKj02QxlHvGsXLmSbGxsqL6+nvW0Tp8+TYqKisyMKFmwa9cucnJykpm8/oAknZ/p6ekEgJSVlTvYd1kFnUhrr2RtW0XyHnfeiIi2b99OADptayHLlU7y8vLoueeeIwD05ptvis0LALFbeqxatYoAMEuvS3Mv0f/l+8kVR+bMmUMAOr2nXl5epK2tLXF+7927R9ra2p3kXLx4kQCQs7Nzh/OS2kxpbKu4stiTdoI0ZYTrdlB/5eTJk6SsrDygV+3Yv38/6erqsr59aEpKCgGgu3fvsppOf0CW9TnbPsDj+nZl99jOR0/rhe7sgyR05RM+Ld+SIo2Py4aOok7WlJQUGjFiBPn5+XV579PKgCR2oidl9WlIYxvZet6SljO2/Gl5pLKykpSUlOjcuXMyk2lvb08ff/yxzOT1J8LDwwkA5efnc62KWHrjd4mjq3rPxcWFNDQ0OtR7CxcupM8++6zDfbJ4v2RRJz6Nr776igAw/U4WFhYdgvU3bdpEAOj333+nhoYG0tXVlWjl7afZDTaDTuStr1C0DRIb2+BoamrSTz/9JHO53VFUVETKyspyvRVZf6a1tZVZ0cTExISAf1c04QNNeGTFd999RwYGBpyk/bQxNWn69HpiH7qyfT0NOmHbnvW2rdNXTJ48mbZu3cqK7LCwMAJAJSUlrMgXIY9jqlz7kqIANzF9EZcVwCMxFRUV0NPTg7KyMteq9IhDhw7h2LFjyMjIwKxZs6CjowNfX1+cO3euV3I1NTU7nWtubkZ1dTXa29uhq6sLgUDQ4YiLiwMAPHr0qMPv9PT0xKZhbGwMACgpKZFadnV1Nd577z24uLhAX1+fue+NN94AADQ0NEiUT2nSbW5uRm1tLdTU1KClpdVlfqThaTL19fWllvmkfGmeK1vlqT9hZGSE8vJyrtXoFhUVFZw4cQKvvPIKli9fjh9++IFrlQYte/fuRVVVFT799FPW06qrq4O6ujqUlJRkJrOwsBCWlpYykzdQiIiIAABMnDhR5va9p7YQkK1tBQBdXd0Of6uoqAAA2tvbe53PrrCwsMDRo0cxbNgwfPHFF4iJiemUFzU1NWhra3f6rYmJCQCgqKhIqnufREdHp8PfCgoKUFRUhIaGRofzioqKUj2Ln376CbW1tdDU1OzwP1iwYAEAIDExEXfv3mXul9Rm9sa29rad8LQywnU7qD9jaWkJoVCIsrIyrlXpMQEBAaipqUFoaCir6eTn5wMA7OzsWE2nP9Hb+pxtH0BS2M5HT/2j7uzD4/TUJxSXb2mRxMdlU8fKykoEBARg6NChuHr1Ko4fP96jfEhiJ9goq9LaRlk/b0nLGe9PS4eenh6GDBmC3NxcmclsaWkZsP11T6OqqgpA39X5bCDO75K23tu2bRsaGhrw7bffAgAePnyI0NBQvPTSSx3u64v3Sxb+la+vLwDg2rVruH//PtTU1DBs2DDmuo+PD3P91q1bGDduXIc6X1b9nbJE3uq2IUOGAPjXlsoaPT09VFdXy1xudxw9ehSamppYtGhRn6Y7mKmursaZM2ewcuVKDBkyBFOnTsXdu3fx+uuvIyMjA4mJiXj//ffh5OTEtao8ckB9fb1M/BdZ0ps+PXH0le2TlT1jq63TV2hpaaG+vp4V2SIb+GSbSpbI65gq1+0t0XOrqKjodI0POpECGxsblJaWorS0lGtVeoRAIMCqVasQEhKCqqoqnD9/HkSExYsX46uvvpJpWqqqqtDT04OSkhKEQiGISOwxY8aMDr8rLy8HEXWSJ+oYMjY2llr2/Pnz8eGHH2L9+vV4+PAh2tvbQUTYt28fAHRKTyAQ9DpPqqqq0NbWRlNTE+rq6jrJEvcySvJMu5MpekZPoqCggJaWlk7nRZ0WPckfIF156uqZ9mfa2tqQnJw8IAZFBAIB9u3bh48//hgvv/wy3n//fa5VGpSYmJhg9+7d2LNnD1JTU1lNq7GxEWpqajKVOXLkSMTFxXHSMcUV7e3tOHToEABg06ZNMpffU1vYV/LEIev6Wk1NDZ988gmICG+99RZzXlVVFbq6umhqakJtbW2n3xUXFwMATE1Npbq3LxAKhfjtt98QGRkp9vlv27YNAPDzzz8zv5HUZvamrdbTdoKkcN0O6s+Eh4dDX18f5ubmXKvSY6ytreHq6sq6g+ri4gIFBQVcu3aN1XT6O7J8n3rrA/SXfPTUP+rOPjyOtD6hLJHEx2VTRyUlJYSEhODChQtwcXHB+vXrER0d3cPcdA1bdkha2yjr5y1pOWPTn5ZH4uPjUVxcjLFjx8pMZnl5OQwMDGQmrz8hmhyQlpbGsSY9oyu/S9p6b8WKFTAxMcHBgwfR3NyML7/8EqtXr+40YDBQ3i8nJydYWloiNjYWx48fZ4JMRMyYMQMqKiq4du0agoKCOl2Xld2QpQ8ob32FDx8+hJKSEivtfKFQKNOJRE+DiPDjjz9i1apVnSZh8MiWpKQk7N27FzNnzoSRkRGWL1+OvLw8fPDBB8jJycGdO3fw+uuvw9bWlmtVeeSMIUOGoKysDG1tbX2edndjatL26XVnH/rKr5OVPWOrrdNXFBUVwdDQkBXZIttaUFDAinxAfsdUuW7r5uXlAfh3wumT8EEnUjBr1izo6uriu+++41qVHqGnp4eUlBQAgLKyMubMmYPz589DIBDg8uXLMk9v8eLFaG1tRWRkZKdrn3/+OaysrNDa2trhfFNTU6cOsPv376OgoABjxoyBmZmZVLLb2toQGRkJU1NTbN26FUZGRszL2tjYKFZvDQ2NDhWKg4MDs3qENHny8/MDAAQFBXW4r6ysrMcD0l3JLCoqwsOHD8X+xszMjJlV+vj9OTk5ne6VJn/SlKfunml/5ezZsyguLsbixYu5VkVidu7cia+//hoffvghtm/fzuoKBjzi2bJlC0aOHIktW7awmk5LSwtUVVVlKnPVqlVoaWkZVEFLb7/9Nu7evYtFixZhyZIlrKTRE1vYl/KehI36esmSJXB1dcWNGzdw/fp15rxodtWTNqO5uRk3btyAuro607Eqzb1sExgYCENDQ0yaNEns9bVr1wIATp48ybQ1JLWZvW2r9aSdIA1ct4P6I1lZWdi7dy82bdo0IDrOu2PZsmU4ffo0q8GHRkZGWLduHTOzbzAji/dJVj5Ab+C6XhDZhytXrnS65urqiu3bt/fIJ5Qlkvi4bOqora0NCwsLaGlp4eLFi9DS0kJAQAAKCwt7JVccbNghaW0jG89bknIGsOdPyxuVlZV48cUXMXXqVHh5eclEZktLC+rr6wf0SiDd4eLiAktLyx6vVMQ14vyuntR7qqqqeOWVV1BSUoIvv/wSv/32G1599dVO9w2k98vHxwdEhAMHDjArn4jQ0tLC5MmTUVBQgKNHj3bwd2RpN2TpA8pbX+Hx48cxe/Zsmfe/AP/Obu/L4I9r167h0aNHWL9+fZ+lOVhoampCSEgI3nrrLTg5OcHZ2RmfffYZDA0NcfDgQeTn5+PmzZvYunUrhg4dyrW6PHKMu7s7GhsbER8f3+dpd1enS9un15WsvvTrZGHP2Gzr9AVVVVVITEyEu7s7K/JFQdWZmZmsyBchj2OqXLd1MzMzYWRkJL4d8+SGOzzd8/nnn5OqqirFx8dzrUq3iNtXU1dXl6ZNm0b37t2jpqYmKi4upvfff58A0EcffSSTNB6nuLiYhg0bRnZ2dnTlyhWqqqqi8vJy+v7770lDQ4NOnTrV4f4xY8aQrq4uzZo1i27fvk11dXUUHR1No0ePJhUVFbp582aPZM+cOZMA0J49e6i0tJQaGhooNDSUrKysCABdv369gx6+vr6kq6tLOTk5dPv2bVJSUmL2VZQm3bS0NDIwMCALCwsKDg6m2tpaSkxMJB8fHzI2Nu7RftbiZN6/f598fX3J2tparMzNmzcTAPrmm2+otraW0tLSaOnSpWRhYdFp/zFp8idNeerumfZH8vPzydTUlNasWcO1Kj3i5MmTpKqqSs8++2yX7ycPe0RERJBAIOhUx8mS7777jvT19WUu9+jRoyQQCGjv3r0yl80FT+4t3tbWRsXFxXT+/HnGNrz44ovU0NDQ6bdP28P7yfPR0dEEgHbv3t3hvLS2UNa2tSt5O3fuJACd2jM9ra+fto/75cuXCQC5ublRe3s7EREVFhaSra0tmZiYUGBgINXU1FBqaiotXryYBAIB/fDDD8zvpbm3u3z7+PiQoqJiJ/2mTZtGmpqaT80nEdG8efNoz5493d7j4eFBAJi9siW1mdLYVnF57Ek7QZoywnU7qL+RnZ1NDg4ONHbsWLF7Ew80SktLSVVVlfW95SsrK2ncuHE0dOhQunv3LqtpcYks63O2fYDu9GU7H72tF0T2wczMjC5dukQ1NTWUm5tLGzduJBMTE8rOziYi6X3Cp+VbUqTxcdnQUdwe5jdv3iRlZWXy9PSkpqamp8qTxk70pKw+DWlsI1vPW9JyxpY/LU+kp6fT2LFjycrKitLT02UmNyUlhQBQbGyszGT2N/bt20dqamqUkpLCtSqd6KnfJW29R/Rve0VdXZ0EAkGXvocs3i9Z1ImS8McffxAAUlZWptra2k7XP/vsMwJAZmZmna7Jym48zQcUZ0u6kidPfYUXL14kABQSEiJz2a2traSoqMhqv9GTTJkyhfz8/PosPXknKyuLvv32W5o3bx5paGiQQCAgV1dXeuedd+j27dvU2trKtYo8g5D29nayt7enzZs393na3dXp0vbpdSdLWtvXlQ17GrKyZ2y1dfqCAwcOkKamJlVXV7OWxsiRI2nbtm2sySeSzzFVrn3JmTNn0tKlS8VduswHnUhJa2srzZ49m0xMTPpVQ1jEuXPnCECHY8WKFURE9M8//9CGDRvIycmJNDQ0yMDAgDw9Penw4cPMAJAk3Llzp1MaXcUvlZeX044dO8jOzo6UlZXJyMiIvL29xVamIgOQlJREPj4+pK2tTerq6jRt2jSKiIjosezS0lLasGEDWVpakrKyMpmYmNALL7xAb731FqO7u7s7c39KSgpNmTKFNDU1ydLSkg4dOtTjPKWmplJAQADp6OiQuro6jR8/ni5dukSzZs1i0l67dq1Ez12cTA0NDZo0aRLdunWLpk+fThoaGp3ur6qqonXr1pGZmRmpq6uTl5cXRUdHk7u7O6PDzp07pc6fNOXpac+0P1FcXEyjRo0iJycnqqqq4lqdHhMZGUmGhobk6elJpaWlXKsz6Fi/fj0ZGhpSQUEBK/JPnTpFCgoK1NbWJnPZX331FSkoKNB//vMfVhuVbKOpqdnJTgkEAtLV1SUXFxfauHGj2E7pruyouPMA6M6dO+Ts7EyKiopMGoqKirR48WJGpiT1qqxtqzh577zzDhFRp/Nz585lfteT+lrcs37uuec63efl5cVcnzx5MhERlZWV0bZt28jW1paUlZVJV1eXfHx86MaNG51+L8m9XeVbFBT0+PHpp59SeHh4p/NPBg6JyM3N7XDfhAkTOt2TmZnZSZ6JiYnENlOS+7pr6xFJ3k7oaRnhuh3UXwgKCiIjIyNycXFhra7ngmXLlokt27KmqqqKvL29SUlJiXbt2kV1dXWsp9lXsOUrdfVuz5o1S2wniaQ+QFd1Sl/kQ1b1wpP2wczMjJYtW0YPHz5k7pHUJ5Qm35IgjY8rSx1PnjzZ6fq+ffvE/lacHe+qDEhiJ6T1V5+GNH4nG89bhCTljIgdf1oeEAqF9O2335K2tjaNGTOGMjMzZSpfNDgsD0GgXdHS0kITJkwgBwcHKisr41odhp76XUTSv4ci1q9fTwDo1q1bYuX25v2Sxi5KUic+jaqqKlJSUqLp06eLvS4K6HnhhRc6XZP0+T3Nf+jKB/ziiy/E5llWfc/9ua8wKSmJ9PX1WZuMlp6eTgD6LAA7NDSUAFB4eHifpCePNDQ00PXr12nnzp3k7u5OAoGANDQ0aPbs2bR//37Kzc3lWkUeHiIi+uabb0hNTY0yMjL6NN2n1enS9P91J0tS29eVDZMUWdkztto6bFNbW0vm5ua0ZcsWVtP54IMPyNTUlIRCIavpyNuYKpe+ZF5eHikqKtK5c+fEXb4sIGJx82I5pa6uDn5+fnjw4AFOnDjBLM/D0zvGjh2LsrIyZj8oHulwdHREY2MjsrOzuVZlwBIXF4fFixdDWVkZYWFhA37Jw8TERPj7+0NDQwOBgYEYPnw41yoNGurr6+Hm5gZra2tcu3ZN5lsuhISEYM6cOaioqGBlCemrV69i9erVUFZWxpdffonnnntuwG8bwcMz2OHbCbIhLy8Pb775Jk6ePInly5fj8OHD0NTU5FotmXHz5k3MmDEDcXFxcHV1ZTUtIsKhQ4fw3//+F1paWti1axfWrFkDNTU1VtOVN2bPno2IiAg0NTVxrQqPGHgf9//oCzvEP+/+R1tbG86ePYv33nsPGRkZeO211/C///0PKioqMk1nz549OHDggNz/7wsLCzFp0iRoamri2rVrYvdRHwz8/PPPOHToEGJiYrhWhUcOiYmJgb+/PxwdHREcHMxK2/TatWvw9fVlrU/nSWbNmgUAuHHjButpyQtEhHv37iE4OBjXrl1DZGQkWlpaMGbMGHh7e8Pb2xtTpkyRuT3j4ektQqEQY8eOhbGxMW7cuAEFBQWuVeLpAVy2dYgIy5cvR1hYGB48eAAjIyPW0srKyoKjoyP27t2LzZs3s5ZOV/B9pdKzYcMGXL58Genp6eK2H7zC1zg9QEtLCyEhIQgICMDcuXOxceNG1NTUcK0WzyCgqKgIBgYGEAqFHc5nZWUhPT0dM2fO5EizgY1QKMQHH3yAiRMnwt7eHn///feADzgBAGdnZ9y5cwfa2tqYMGECQkNDuVZp0KCpqYljx44hLCwMX3zxhczls73noZ+fH5KTk+Hn54cVK1bA1dUV586dQ3t7Oyvp8fDwyAa+ncAeeXl52LJlC4YPH46oqChcunQJJ06ckKuAEwCYPn06Ro4cicOHD7OelkAgwObNm5Geno4lS5Zg+/btsLKywrvvviv3g4Y8PPIKb4d4RFRWVuLLL7+Evb09li9fDjc3NyQnJ+PTTz9lZYAuKioKHh4eMpfb3zAzM0N4eDiICG5ubggJCeFaJU74/vvvsWPHDq7V4JFDDh8+jClTpsDd3R1Xr15lLRg6KSkJxsbGfRJwEhUVhdDQUOzatYv1tAY6paWlOHPmDDZs2AArKyu4urriiy++wJAhQ3DgwAHk5OQgPj4en3/+OWbNmsUHnPD0S5SVlXH8+HFERUVh27ZtXKvD00O4bOvs3bsXZ8+exalTp1gNOAEAGxsb7NixA++99x5KSkpYSYP3UWVHbGwsjhw5gr1794oLOPkXVtdZGQScPn2ajIyMyNDQkPbv38/v19cLerq/2mCisLCQANCaNWsoJyeH6uvr6e+//yYPDw8yMDCQ6Z7Ig4Xr16+Ts7Mzqaur02effSaX73BTUxOtWrWKlJSU6MCBA1yrM6jYu3cvKSoq0rVr12Qqt7W1ldTV1emXX36RqVxxJCQk0LPPPksKCgo0bNgw2rt3L1VUVLCeLg8Pj/Tw7QTZc/PmTVqyZAkpKyuTpaUlffvtt9Tc3My1Wqyyb98+0tHR6fMtCgoLC+m9994jExMTUlBQoDlz5tCxY8eotra2T/UYaHS1vQ5P/2Cw+bhc26HB9rz7G83NzXThwgV65plnSFVVlbS1tWnLli2dtiBiA1NTU9qzZw/r6fQXampqaPny5SQQCGjJkiWUk5PDtUqscvjwYQoICKDa2lr67rvvyN7envVl2HkGF6mpqeTr60sCgYC2bt1KLS0trKa3cOFCWrRoEatpiPDz86OJEyf2SVoDjaamJrpx4wbt3LmTXF1dSSAQkIqKCk2fPp0++eQTio2NZWVbax6evuD06dOkoKBAW7ZskcvxDnmjv7R19u/fTwoKCrR///4+S7Ouro6srKzI39+flbLKtY8qL1RWVpKTkxPNmDGjuy18LvNBJzKgvLycdu7cSaqqqmRnZ0f79++npqYmrtXqERCzN/STx+7du2WaZm/3V5MHpHnuISEhtGjRIrKxsSEVFRUyMTGhFStWUFpaGreZGGBcv36dPD09CQDNmzdP7o1Le3s7ffjhhyQQCGjdunXU0NDAtUqDgvb2dlqyZAkZGxvLvCPQ1dWV3njjDZnK7I7k5GTavHkz6ejokJqaGi1ZsoQuXrzIemcMDw+PdPDthN6TkZFBH3zwAdnb2xMA8vT0pF9//VXug01EVFRUkK6uLn388cecpN/U1ER//PEHLVy4kFRUVEhdXZ0WLFhAP/30E5WWlnKiU3/k5MmTnfyFtWvXcq2WzODCL5WlbpqamoPWx5XUDsnyf8z3KXBHXV0dnTlzhlasWEF6enqkoKBAM2bMoJ9++omqq6v7RIfU1FQCQJGRkX2SXn/i4sWLZGtrS5qamrR79+4B2xf5NA4fPkwASElJiUaPHk2xsbFcq8QjJ9TV1dHu3btJRUWF3NzcKCIigvU029raaMiQIfTGFGs7AAAgAElEQVT111+znlZ4eDgBoKCgINbTGig8ePCA9u3bR35+fqShoUEAaMSIEbR582a6ePEiH/DOI1f8+eefpK6uTgEBAVRfX8+1Ov2C/upnct3WaW9vp927d5NAIOAk/7GxsaSpqUlbt25lRT7fV9o7Wltbyd/fn8zNzSk3N7e7Wy8LiIi6XS+FR2IePXqETz/9FMePH4eJiQlefPFFvPjii7C2tuZaNR4eHgBlZWU4duwYjhw5gpSUFMyfPx/vvvsuxo8fz7VqfUZgYCBWr14NKysrnDlzBvb29lyrJPfU1tZi0qRJUFBQQEREBLS1tWUi96WXXsKDBw9w+/ZtmciTlNraWpw5cwbHjh1DeHg49PT04OPjg/nz58PHxwcGBgZ9qg8PDw9PbyEixMTE4PLly7h06RLi4uJgZGSE5cuXY/Xq1XB1deVaxT7n/fffx9dff43MzEzo6elxpkd5eTnOnTuH8+fP48aNGxAKhXB3d8eMGTMwY8YMeHl5yd0WRzw8PDz9GaFQiL///huhoaEICwtDVFQUhEIhvLy8sGjRIixevJjZCrSv2LdvHz788EOUlJRASUmpT9PuDzQ2NuLzzz/Hnj17YGpqim3btmHNmjUy8zt5eOSRoqIiHDp0CN9//z0EAgE+/vhjrF27FgoKCqynffv2bUyePBkPHjyAs7Mza+kQESZMmABtbW3cuHGDtXT6O2VlZQgLC0NISAiCgoKQk5MDLS0tTJ8+HfPnz4e3tzdsbGy4VpOHhzUiIiKwcOFC2NjY4OjRo3BxceFaJZ5+Rn5+PtavX4/Q0FAcPXoUy5Yt40SPP/74A0uXLsV7772H999/nxMdeDrT0tKC1atXIzAwEH/99Rfc3Ny6u/0KH3TCAllZWfj+++/xyy+/oKSkBN7e3li3bh0WLFgAZWVlrtXj4RlUtLe3IzQ0FEeOHMH58+ehqqqK559/Hhs3bsTo0aO5Vo8TsrKysHTpUqSmpuLIkSNYsmQJ1yrJPfn5+ZgwYQJcXFwQGBgok87QP//8E0uXLkVxcTGGDBkiAy2lJzs7G3/88QeuXLmC8PBwtLe3Y9KkSZg3bx7mzp3LagcKDw8PT2+oq6tDcHAwLl++jCtXrqCoqAiWlpaYO3cuFixYgDlz5gzKgSsR1dXVsLOzw6uvvor33nuPa3UA/Bv0GBwcjBs3biAsLAwpKSlQVlbGhAkTMHPmTMyYMQOenp5QU1PjWlUeHh4euaGtrQ2xsbEICwtDWFgYIiIiUF9fD0tLS8yYMQMzZ86Ev78/6/u9d8ecOXNgZGSEEydOcKZDfyA7OxtffPEFjh49CmVlZaxfvx5btmzp8yAgHp7+TEJCAvbt24eTJ09CV1cXr7zyCrZu3Qp9ff0+02HTpk24efMmEhMTWU3n119/xZo1axAXFzeo+j+FQiEiIyMRHByM4OBgxMfHQ1FREZ6envD29sacOXMwbtw4KCoqcq0qD0+f8ejRI6xevRqxsbF47733sHPnzkHd38Hzf/z888/YsWMHjI2N8csvv8DT05NTfY4cOYKNGzdi7dq1OHToEF9Xc0xNTQ0WL16M6Oho/Pnnn5g1a9bTfsIHnbCJUCjEpUuXcPjwYQQHB8PAwAABAQEICAjArFmzoKqqyrWKPDxySVtbGyIiInDhwgWcO3cOWVlZmDRpEtatW4elS5fyM2IBNDc347XXXsOhQ4fwn//8B19//TWnM5kHA9HR0Zg+fTqWLVuGI0eOQCAQ9EpebW0tDA0N8fPPP+P555+XkZY9p7q6usMAbmlpKaysrDB16lR4eXnBy8sLI0eO7HW+eXh4eHpCVVUVbt++jcjISISHh+Pu3btobW3FhAkTMHfuXMydOxdjxozhWs1+xUcffYS9e/ciIyOjX65iVVhYyMy0DwsLQ0ZGBtTV1eHm5oZx48Zh3LhxcHd3h4ODQ5/MWuXh4eGRB7KyshATE8Mc0dHRqKmpgampKbPK1IwZMzB8+HCuVQXw7wx2CwuLfuMT9QcqKirwww8/4JtvvkFpaSn8/PywYsUKzJ8/H+rq6lyrx8PT51RUVODMmTP47bffEB4eDmdnZ2zbtg0rV67s82BloVAIc3NzvPbaa3jrrbdYS6e6uhpOTk5YsGABvv/+e9bS6S/k5OQgKCgIQUFBuHHjBmpqajBixAjMmTMH3t7emDFjBr/6E8+gp62tDfv27cOuXbvg6OiIzz77DD4+PlyrxcMRMTExeOuttxAWFoZt27bho48+6jftxMDAQCxbtgxTp07F0aNHYWJiwrVKg5LExEQsX74cZWVluHLlCsaOHSvJz/igk74iNzcXx48fx7lz5xATEwMtLS34+voiICAA/v7+/GAvD08vaWxsxPXr13HhwgVcvHgRZWVlGDlyJBYuXIiVK1di5MiRXKvYLwkKCsK6devQ1taGw4cPY968eVyrJNdcuXIFAQEB2LRpE/bt29dred7e3lBXV8eFCxdkoJ3saG9vx927dxEcHIyIiAjcuXMHdXV1MDAwwOTJk+Hl5YXJkydj3LhxfAAmDw8PK+Tm5iI8PJwJMklMTER7ezscHR3h5eWFadOmwdfXF4aGhlyr2m+pq6uDnZ0dXn75ZXzwwQdcq/NUsrOzcfPmTfz999+IiYnBvXv30NLSAm1t7Q6BKOPGjcOwYcP4IEgeHp5BT15eHhNcEhsbi5iYGJSVlUFRUREjR47EuHHjMH78eEybNq3f+tNff/013n33XRQWFkJLS4trdfoVLS0tOHPmDH799VeEhIRAQ0MDixYtwvPPP4/Zs2fzM0d55JrGxkZcvHgRJ06cQFBQEBQVFbFgwQKsWbMG3t7enLUDT548iVWrViEzM5PVVYheeeUVnDlzBsnJyXLp77S2tiIqKgqXLl1CSEgI4uLioK6ujkmTJmH27NlYsGABnJycuFaTh6dfkpqaijfeeAOBgYGYPn06Pv30U85Xt+DpO1JTU7Fr1y788ccf8PT0xJdffomJEydyrVYnoqOjsWzZMtTV1eGnn37C3LlzuVZp0EBEOHToEN58802MHTsWJ0+ehLW1taQ/54NOuCA/Px8XLlzA+fPncfPmTQCAp6cnZs6cienTp/PLQvPwSMDjy/zevHkT4eHhaGxsxIQJE5gVhUaMGMG1mgOC8vJybNq0CadPn8aGDRvw2WefQVdXl2u15JZTp05hxYoV+O9//9vrQbzTp0/j+eefR3p6ujTGv89pbW3FvXv3EBERgYiICERGRqKwsBBqamoYPXo0XF1dmcPFxaXfRFbz8PAMDLKzsxEfH49//vkH8fHxiI+PR25uLpSVleHu7o5JkyZh6tSpmDRpEqfL/w9EPv/8c3z88cd49OjRgJtdIhQKkZCQ0GHG/oMHD9Da2go9PT04Oztj5MiRGDlyJJydneHk5IShQ4dyrTYPDw+PzCkrK0NiYiKSk5Px4MED5rOkpAQKCgoYMWJEh8C8sWPHDpjVQV1dXTFu3DgcPnyYa1X6NcXFxTh16hROnDiBv//+G8bGxvDz84Ofnx+8vb37dGsRHh62yM/Px9WrV3H16lUEBwejsbERs2fPxvPPP49Fixb1i5Uu3Nzc4OjoyOp2YFFRUZg8eTKOHTuGFStWsJZOX5OZmYnr168jJCQE165dQ01NDezs7DB79mzMmzcP3t7e/KQmHh4piIyMxNtvv42IiAh4e3tj27Zt8PHx4SdnyClRUVE4cOAAzpw5AwcHB3z88cdYuHAh12p1S21tLTZv3oxff/0V//nPf/Dpp5/CzMyMa7XkmsTERLz66qu4desW3nnnHbz77rvSbsXFB51wTVVVFa5evYqQkBDcvHmTWRZ64sSJmD59OmbMmAEPDw+oqKhwrSoPD6e0tbXh3r17uHnzJsLCwvDXX391WOZ35syZmDdvHkxNTblWdcBy6tQpbNmyBQoKCtizZw9WrVrFNzRZ4siRI9iwYQN27NiBPXv29Pg5C4VC2NjYYO3atQNiFvrjpKWlITIyEnFxcYiPj8e9e/dQU1MDRUVFODo6YuzYsXB1dWU+++PWDjw8PH1La2srUlNTmeCSf/75B3FxcaisrISCggKGDRvGBLB5enrCw8MDGhoaXKs9oGloaMDIkSMxbdo0/PLLL1yr02saGxtx7949xMfH4/79+0hJScGDBw9QWloKANDV1e0QhCL6tLS05NtEPDw8/Z7i4mIkJiYydVtycjISExO7rOPc3Nzg5uYGHR0djjXvGfHx8XBzc0NERAQmT57MtToDhrS0NJw5cwZXr17FnTt3QESYOHEi/P394efnhzFjxvA2j2dA0Nraijt37uDKlSu4evUq7t27B3V1dcyYMQNz587FM88806+Cpq9cuYK5c+ciLi4Orq6urKTR0NAANzc32NjYICgoiJU0+gqhUIhbt27h0qVLuHr1Kh4+fAhtbW3Mnj0bvr6+8PX1hZWVFddq8vAMeK5evYqvvvoKN27cgL29PbZu3YrVq1fzK8jJAaJV7w4cOIC7d+/C3d0d27dvx/LlywfUFsR//vknduzYgYqKCvz3v//F9u3b+SBDGVNRUYH3338f3333HcaMGYODBw/2dAUkPuikv1FYWIiIiAiEhITg+vXryMzMhLKyMuzt7eHu7s5sSeDk5DSgKgYeHmkpKChAWFgYHj58iLi4OERGRqKyshJGRkaYMGECvLy8MHv2bLi5ufEdIjKkqqoKu3fvxqFDh+Dm5oZDhw5h/PjxXKsll5w8eRKrV6/G8uXL8eOPP0obNcqwe/dufPvtt0hPTx+wHcYiCgoKEBsb2+EoLCwEAOjr68POzo7pKBd9d3R05JeG5uGRM5qbm5GWloakpCRkZGQgMTERSUlJSEpKQmNjI5SUlDBixAi4u7vD3d0dzs7OcHV1xZAhQ7hWXS75888/8eyzzyIsLAzTpk3jWh1WqKys7FDWRJ+ZmZkgIqioqGDo0KGws7PrdDg5OfHBTTw8PH1GZWUlU0dlZGQwR1paGqqrqwEAenp6GDZsGNNuFn3a2trKle+8detWBAUFITU1Va7y1ZfU19cjNDQUly5dwpUrV5CXlwcdHR14eHgw26JOmTKF79jn6Rc0NDQw/YOiVVSrqqqY1S5mz54NPz+/fjlQ2t7ejvHjx8Pc3ByBgYGspbNp0yacOHECCQkJrG7fwxaVlZW4evUqLl68iKCgIFRXV2PUqFFMUNzkyZOhrKzMtZo8PHLJw4cPcejQIfz4449ob2/HzJkzsWHDBvj6+vLv3QAjNjYWx44dw++//46ysjL4+/vj1VdfxezZs7lWrce0tLTgu+++w65du6ChoYGXX34ZO3bsGPBjIVxTVlaGgwcP4sCBA1BQUMCuXbuwefPm3oy18EEn/Z309HTcvn0bd+/eRXR0NP755x80NzdDR0cH48aNg4eHB9zd3eHi4oJhw4b1eNCSh4criAhZWVl48OAB4uLiEB0djejoaJSUlAAABAIBtLS0MHToUDg7O8Pd3R3Dhg1jBpz5bTjYIS4uDps2bUJMTAzWrl2LXbt2wcLCgmu15I5Lly5h6dKlWLhwIY4dO9ajRnxVVRWGDx+OjRs34sMPP2RBS24pKirCvXv3kJycjJSUFKSmpiI5ORnFxcUAAHV1dTg6OsLBwYH5tLW1ha2tLYyNjTnWnoeHpyuam5uRlZWFrKwspKenIykpCampqUhJSUFeXh4AQEVFBSNGjGDe7ce3QuE7PfoWPz8/5ObmIjY2dlANPFVUVCApKQlpaWlIT09HRkYG0tPTkZ6ejrKyMgCAgoICLC0tYWdnh2HDhmHYsGGwtbXF0KFDYW1tDVNTU95H4+HhkQgiQlFREXJzc5Gfn88ElIjqnezsbAiFQgD/rloi8otFdc+wYcPg5OQ0KJadbmlpgYWFBXbs2IG3336ba3XkAiJCfHw8/vrrL4SHhyMiIgIlJSXQ0NDAhAkTMGXKFHh6esLNza1frR7BI79kZ2d3CDKJi4tjVnudMmUKvLy8MGPGDNjb23Ot6lM5cuQINm7ciPj4eIwaNYqVNC5fvoz58+fjxIkTWLZsGStpsIFo25zAwEAEBwejra0Nnp6emD9/PgICAuDg4MC1ijw8co9oa9qIiAiEhYUhNDQUtbW1EAgEMDIywnPPPYdnn30WkydP5if+9UOICP/88w/Onj2LEydOIDMzE6NGjcKKFSuwcuVKudpGOD8/H3v27MEPP/wAZWVlvPHGG9iwYQM/BiAl6enpOHDgAI4cOQJNTU1s27YNmzdvlkUQDx90MtAQCoW4d+8eE4QSHR2NlJQUtLW1QVVVlemIHzVqFEaNGgVnZ2fY2NhwrTYPD4B/B48fPHiABw8eIDExEQkJCUhKSkJdXR0AwM7ODh4eHhg/fjw8PDzQ3NyMvLw8pqNfdJSXlwMAlJSUYGVl1aGTbfjw4cx3ftZp7yAi/PLLL9i9ezdKS0vxyiuv4K233oKhoSHXqskVt27dwoIFC+Dl5YU//vijR4FUX3zxBf73v//h0aNHg6KTGfh3BkxqamqHgerk5GRkZmaitbUVAKCpqQlbW1vY2dkxgSiPH/1xBhQPj7zQ3t6O/Px8ZGZmMkdGRgbzvaCgACI3xMDAAI6OjnBycmICyJycnGBra8t3aPQTsrOz4eLigs2bN+OTTz7hWp1+QU1NDdM2fXxQOCMjA7m5uYwtUlRUhKmpKaysrDB06FBYWFjA2tqa+W5lZQVTU1O+rPPwDAKKioqQn5+PvLw85OTkIC8vr8P3goICtLS0APh38oW5uTnj2z4eXGJnZzfofbKTJ09i1apVyMrKkquO9P5GSkoKIiMjmSCU9PR0AICFhQWzPZObmxtcXV0H5KoKPP0DIkJaWhri4uI6HBUVFVBQUICzszOmTJmCyZMnY+rUqQPuna+pqcGIESPw3HPP4euvv2YljezsbLi5uWHBggX4+eefWUlDVrS3tyM+Ph6BgYG4dOkSYmNjoa+vj9mzZ2PevHlYsGAB9PT0uFaTh0euyc3NRWRkJO7cuYOoqCjEx8dDKBTCzMwMEydOxKRJkzBx4kQYGRnh9OnTOHHiBJKSkqCvrw8fHx/MnTsXvr6+g749yiV1dXW4fv06rly5gitXrqCgoABWVlZYtmwZVqxYgdGjR3Otokxpbm5GWFgYzp07h4sXL6KoqAjm5uZobGxEfX095s+fj3Xr1sHb25vfIaQLmpqacO7cORw5cgRhYWEYOnQoXn/9daxbt06W46h80Ik80NjYiKSkJGYg//79+0hMTERubi4AQEdHB05OThg+fDjs7e1hb2+P4cOHY/jw4TAwMOBYex55o7a2FmlpaR2OR48eISkpiQkWMTIygouLS6cAKV1dXYnSaGpqYmZFP76kcEZGBrKystDe3g7g/7bj6OrgkYzm5mb8v//3//DJJ5+goaEBO3bswLZt23gnUIb8/fff8Pf3h4uLC86fPy/1s21sbISjoyMmTZqEkydPsqTlwKC1tRW5ubkdBrofP4qKiph7jYyMYGNjA3Nzc1hZWcHMzAxDhw7F0KFDYWZmBisrKz54jYdHDG1tbSguLmYGyHJzc3H37l0UFxejsbERRUVFyMnJYQbO1NTUYGNjIzb4y9bWFvr6+hzniEcSvv/+e2zZsgWRkZHw8PDgWp1+TVtbG4qKipCdnd1pUDkvLw+5ubkoKipi2qxKSkqMDTI2NoaZmRlMTExgYmICc3NzGBkZwczMDKampvwqfzw8/Yzm5maUlJSgsLAQxcXFKC4uRmFhYYdzBQUFyM/PR3NzM/M7Y2Njpt3ZVVCaiooKhznr37i7u2PEiBGD3vfpa8rLyzsEBcTHxyMtLQ1EBCMjI4wePRpOTk7MNqgjR47kV0XhYSAiZGdnIzU1FYmJiUhJSUFSUhLu37+PmpoaKCkpYeTIkXB1dWUCmsaMGQNtbW2uVe8VL730Es6fP4+UlBRW+uGFQiGmTZuGuro6REVF9cs+jIaGBgQFBSEwMBCXL19GaWkphg0bhgULFmD+/PmYMmUKvzIgDw9LtLa2IjU1tcPWZJmZmVBUVISDgwO8vLwwefJkZuvirnj06BEuX76My5cv46+//kJbWxvGjRuHqVOnYurUqfDy8uLHClikoaEBUVFR+Ouvv/DXX38hMjISra2t8PDwwLx58+Dv74+xY8fK1ZaT5eXluHbtGi5evIirV6+itrYW7u7uCAgIQEBAAJydndHY2IgzZ87gyJEjCA8Ph5WVFZYuXYrFixdjwoQJgz4ApaWlBaGhofjzzz9x9uxZ1NTUYO7cuVi7di38/f3ZmPzEB53IM1VVVUwgSnJyMh49eoS0tDRkZmYyS7IaGBgwASj29vaws7ODpaUlhg4dCktLS6ipqXGcC57+hlAoRH5+PnJzc5GTk4Ps7GwmsOTRo0fMlheKioqwsrJiypeDgwNGjRoFFxcXVpe7amlpQV5eXqdglIyMDCQlJaGxsRFA9wEpNjY2g94giaO+vh4HDx7E559/DqFQiBdffBE7duyAtbU116rJBffv34efnx80NTVx4cIFODo6SvX7kJAQeHt74/fff8fSpUtZ0nLg09jY2CEIJSsrC4WFhcwy5gUFBWhqamLu19XVZTr+RcEpJiYmMDU1hbGxMQwNDWFqaso7VjxyQXNzM8rKyphBs9LSUia4JC8vD4WFhcjJyUFxcTGzigPwbwBXS0sLqqurAQAaGhqwsbGBo6MjPDw8MHHiRIwaNYoPdh7gEBF8fHyQkZGBuLg4fu/cXiIUCpmgrdzcXOTl5SE/Px+lpaXMZ1FRESoqKjr8TktLCxYWFjA2NoaJiQnMzMyY70OGDOl08IPWPDzS0draivLycpSXl6OiooL5XlJSgqKioh69o6amprC0tGT6WoYOHcr3tfSC69evw9vbG3///TcfBNkPqKmpQXx8POLi4pCYmIikpCQkJyejqqoKwL99L48Hooi2obO1teXbEnJKWVkZ42+LJoyJtsutr68HAJiamsLJyQmOjo4YM2YMXF1dMXr0aLmrG4ODg+Hr64tTp05hyZIlrKTxwgsv4Ny5c4iOjsaIESNYSaMnNDU14fr16zhz5gzOnz+P+vp6uLq6Yt68eZg/fz7c3d25VpGHRy4pKipCdHQ0YmNjERkZicjISDQ2NkJHRwceHh5MgMnUqVMlngD8JLW1tbh+/TquX7+Ov/76C8nJyRAIBHBxccHUqVMxceJEuLm5wd7enh9j6SFZWVmIj49HVFQUwsPDERMTA6FQCFtbW0ydOhWzZs2Cn5+fXK02I9om6MqVK7h8+TLu3r0LBQUFTJ06FQEBAVi4cGG3K+ulpqbi6NGjOHv2LB49egQLCwssWrQI/v7+mDp1KjQ1NfswN9xRXl6O0NBQBAYGIjAwEFVVVRg3bhyWLFmCVatWsb1KPh90MhhpbW1FTk5Op5Uo0tLSkJWV1WGwzcTEhOkYsbKygpWVFfO3qakpTE1N+2UENU/PaGpqQmlpKQoKClBQUICcnBzk5OQwHeHZ2dkdZmWqqKjA0tKS2dZGtIqOvb09bG1t+2Und0FBgdgVUh4+fIja2loA/+Zr6NChsLOzg5mZGczNzTsEpVhbWw/qJdBra2vx008/Yd++fcjNzYW/vz/eeecdeHp6cq3agKe0tBRLlixBXFwcjh07hoCAAKl+//LLL+Ps2bO4f/8+TE1NWdJS/hHVg7m5uczM1NzcXCY4paioiFm5SYSKigqMjIxgbGwMU1NTGBkZwcjIqMN3IyMjGBgYQF9fnx985+kTGhsbUVFRgcrKSlRUVKCkpIQJJiktLUVhYSHzvbi4mBkcEKGmpsbMxBYFXllaWsLc3LzDOVHncGVlJTPYIPpMSEhASUkJgH8HHURbQYo+R48eze+9OoAoKSnB2LFj4eXlhdOnT3OtzqCgubmZsUvFxcUoKSlBQUEBMwBeVFTEvNuiwK/H0dLSwpAhQ2BoaAhDQ8NOQSkGBgbMd11dXeZQVVXlILc8PLKjtbUV1dXVqK6uRmVlJaqrq1FaWsoEkTwZVFJeXo7S0tIu3yPRikNGRkYwNzdngkr41Yj6Hm9vb7S3tyMkJIRrVXi6obCwkAk0EK1qkZqaivz8fOaeIUOGMKveOTs7w9HREba2tkxwFh+U0j8pKytDYWEhsrOzxW6jKepbE01GE616I/p0cnIaFCsdlpeXw8XFBTNnzsTx48dZSePjjz/G7t27ce7cOcyfP5+VNKShsbERISEhHQJNJk6ciCVLlmDp0qWDZjtoHp6+orq6Gvfv30dsbCxzJCcnQ0FBAQ4ODnB3d2dWMhk5ciRrq2CUlZUhIiICt27dQnh4OBISEiAUCqGtrY2xY8cyq1eNHj0aDg4OfHv5MYRCIdLS0pCQkCB2izlHR0dMmTIFU6ZMwbRp0wbcFnNPo7i4GKGhobhx4wauXr2KgoICmJmZwd/fH35+fpgzZ06P2oMJCQn4888/ce7cOSQkJEBFRQUTJkzArFmzMHPmTLi7u8vNuHZVVRXu3LnDPMd79+5BIBBg4sSJWLx4MRYvXtyXk8b5oBOezpSUlDDLPmdnZzOz70R/FxUVoa2tjblfS0urwxLQoo4YUaeLkZERhgwZwgyy8dGNfUtVVRXToVZSUtJhmV9Rp7Vo4OnJwabHZ2RZWlrC2tq6QxCSmZmZXC3ZVVBQgPT0dMZRzs7ORlZWFvMeiFYIUlFRgZWVFaytrWFtbQ0bGxvmsLa2hoWFxaAIShEKhThz5gy+/PJLxMXFYerUqXjppZfwzDPPyN3slL6kubkZmzdvxo8//og333wTn3zyicT1Zl1dHcaMGQMrKysEBwdDWVmZZW0HL0KhEKWlpUyH2+MD98XFxSgrK+swI1a0ytLjGBgYdAhCEX2KO6etrQ0dHR3o6elBS0urXwb18bBDdXU16urqUFdXh5qaGiaARPTZ1ffKyspO5U4gEMDIyAiGhuOjNLIAACAASURBVIZMUJSxsXGHgCnRNTMzM5ktZS0uGOWff/5BWVkZAPHBKGPHjpWrGRvyxI0bN+Dt7Y19+/Zh69atXKvD8xiiFRqeHEgvLy9HWVlZp3Oi4/GVi0SoqakxASh6enrMp+i7uENkq9TV1aGpqQldXV3e9+PpEZWVlWhqakJjYyMqKyvR0NDABJBUVVV1+P74348fotn0j6OgoNAp2OrxQ1xgFr9iUP8iISEBY8eOxdWrV+Hj48O1Ojw9oKmpCZmZmYiIiMD58+dx584dVFZWwsrKClVVVaipqWHu1dTUhKWlJUxNTTF06FCYm5vDwsICFhYWMDMzg6GhIYyNjflVJ2UAETFthdLSUmaVQ9GkC9G2mk+uDGpoaAg7O7sOW2eK/rayshq0fRLt7e2YP38+EhISkJCQwEqQzcmTJ7FixQp888032LRpk8zlSwofaMLD0zdUVlYiLi4OMTExiImJQWxsLDIzMwEAVlZWGDduHNzd3eHh4QEPDw9OAzebm5uRkJCA+Ph4xMbGIj4+HgkJCWhuboaCggKsra3h4OAAJycnODg4wMHBAba2trCwsJDLrbba29tRVFSErKwsJgg3NTUVycnJyMjIQGtrK5SUlODk5MQE6Li5uWHs2LHQ0tLiWn2ZUlNTg1u3buHGjRsIDQ3FgwcPoKioCA8PD/j5+cHf3x+urq4yHXMsLCxkAjJCQ0ORnZ0NJSUlODs7Y/z48fDw8IC7uzscHBz6/WooVVVVSExMRExMDKKjoxEdHY1Hjx6BiODs7MwE1UyfPr3HKxn1Ej7ohEd6WltbUVRUxMywEzfbTjQb73FnUYSenh709fU7BKI8ObCmr68PTU1NaGhoQFtbG7q6utDU1ISmpuagmulQV1eH+vp61NfXo6qqivleW1vLDEJ1N+BUUVGBJ19xTU1NZpWaJ2dpiZbnNjMzg5mZGT/D8QkqKys7rZBSUFCAwsJCpKamoq6ujrm3q+17zMzMYGtrKzeRlCJCQ0Nx8OBBXLp0CVpaWnj++eexdu1a/H/27jysqTP9G/hX2fdFtgBhX8Mii7QqqKjUuoCKNmq10P5spzOd1i5XO3VqO11m2o5jp9MZu8xUx9ZCa3XQqlXrhtWqYEdFlCUQdgIJq4Q9G0neP3zPmQSCWkXDcn+u61w5sSE+Bwsn5znf575jY2ONPbQxa9u2bXjuueewcOFCfP3117f9u08gEGDGjBl45JFHsGPHjns8SnK7ent70d7ezv5uHhwOGO7PDN0wAW6E32xtbeHo6Ah7e3vY2trC1tYWdnZ2cHR0hJ2dHftnDg4OsLS0ZG8Cmpubw97eHiYmJnBycoKJiQns7e1hbm4+6j9cj1ZqtRrd3d1QKpXo6+uDTCaDXC5Hb28vVCoVurq6oFar0dnZCYVCgd7eXnR1daG7uxu9vb3o6elBb28vpFIpGzDp6ekx+DkKAPtvN1xIabj/5urqOqpCkUz1Md1AyrVr19jzKYfD0Qui8Hi8cXnRPRa9//77eOutt3DkyBEsWLDA2MMhd6mrqwsdHR0Gb9zrbky1iME3+Q0FKxnMucXBwQFWVlawtraGo6MjrKysYGVlpbfv5OQEKysr9pxlaWnJ7jPvY2ZmBltbW/bcNXnyZGNNpkxIPT09GBgYQF9fH5RKJfr7+6FQKNiAiEKhQH9/P1QqFXp7e9nzYldXF+RyObsvk8nQ39+Pzs5OyOVydl8mk930/ycLCwu9oNOtglDM5uTkBAcHB0yZMuU+frfIvfDYY4+hqKiIXcFHxpbr169j3759yMrKQn5+PpydnbFy5UpkZGQgMTERkyZNwvXr19mqk01NTWz4QSwWQywWs4uodOe6TE1N2dAYU9nLzc2Nfe7g4AB7e3s2xG9vb88GJcfb9U93dze6u7vZa4menh5IpVJ0d3ejq6uLXRzBBFKZoEl7e/uQ76m7uzu8vb3B4XD0Hj09PdkKiCMVUh9v3n77bbz//vs4ffo0EhMTR/z9jxw5gvT0dDz//PP461//OuLvfyu6QZP9+/dDJpNh+vTp4PP5WL16NVXeJeQuSSQSFBQUsPMkTAUTrVYLDoeD+Ph4dnvggQfg7u5u7CHfkkqlQmVlJRu6KC8vZ/eZSoMmJibgcDjw9fVluy54e3vD3d2dXTDFLJQaLZ8DmYXezDm1ubkZYrEY9fX1bBcBsVgMpVIJALCysmKDNkybudDQUISFhY3LRbxNTU3Iz89HXl4e8vPzUVBQALVajaioKMyfPx/z58/H7Nmz7+vnibq6Oly8eBEXL17EpUuXcOXKFfT29mLSpElshTbm34XL5cLHxwdeXl735VpSq9Wybc7FYjFqa2v1QkrNzc0AblQLTEhIYEMzDzzwwGipIk2hE3JvyeVytLa2GrzJNlxYgrkguhk7Ozs2hMKsaGBW0llbW8PCwoKdkATAJsptbW31UvbMJKYhzPsMNjAwwJaKHIyZVGMwN6GAG5O5Go2GnZhjJuKAGwk1rVaLnp4evZDJzTg4OMDW1nbYm0uD952dneHm5jbuLqhHC61Wi6amJrYyim6VFGafmUA1MTGBp6cnfH194e/vz1ZM0a0qM1Yv3FtaWpCVlYUdO3ZAKBQiLi4O69evx+rVq2nF+h04c+YMuzJk//79CAgIuK2vO3jwIFasWIG///3v2LBhwz0eJbmXlEolOjo62ElDJnDIhBQ6OzvZ/Z6eHvT09KCzs5MNLjCvYW4C3Q7mRh9zztRdqa67QsvR0ZG9yNN9DRNoAW6crwevUmBuFN7KrVaDMcGOmxl8XmYwN80AsMEQAOxNNADs+Xrw38W8pru7G2q1+pafWRjMjVELCwt2kps5lzObk5OTXmBI9zV2dnZsMHe832A1FEa5evUq+29pKIwSGxtLn3HuI61Wi4yMDBw5cgQXLlxAWFiYsYdEjEipVKKrq4s9V8lksiHhgq6uLvT390Mmk+mFC5iqTMyfM797dX833y7mvMGcn3TPR4Ov+3TPYRYWFnqBcN1z2s0CmbdbyUX3uvRmbue8xmCuH2/1HszrtFotent79araMNenwNDzJXNuY76eOefdLuZcb2pqyp6/rKys2HObbjUcQ2EkJoDEBJOY147HiVhy+xobGxEQEIAvvvgCjz32mLGHQ25TV1cXDh48iJycHBw7dgw2NjZYunQp+Hw+Fi5ceEeVMFQqFVtdsqWlRa+iF3PTh6lKef369WGrHwH/+4zOBPfNzMzYaxjmkbkuYh6ZID9D95yiy9B5QncuUNfguUbm9zkT6hsc7mMe5XI5e/692Twic10xZcoUuLm56YV0pkyZwraDZUI77u7uVK3sDh09ehSpqan45JNP8Mwzz4z4+585cwaLFy/G2rVrsX379vt247W3txdHjhxBTk4OfvjhB6hUKiQnJ4PP5yM9PR2urq73ZRyEjCc9PT0QCAQoLi7GtWvXcPXqVRQVFaG7uxuTJ09GYGAgYmJiMHXqVEydOhXx8fHjsnpQc3Mzamtr0dDQAJFIhIaGBtTV1UEkErGL3XVNnjyZPWcxc2iDF60z14KDr+cGX5sNvn5inmu1Wr1F4Mz8KrPPfM4YfM3q5OQET09P+Pn5wcfHhw0tMEEaLpc7agIzI02lUqG4uBj//e9/kZ+fj/z8fNTU1MDExASRkZFITEzE7NmzMXfu3NESkABw4x5uVVUVBAIBG4gqKytDZWWl3pyvlZUVfHx82GIKTHEFpoCC7pyD7r7u3Aazz1Sylkql6OzshFQqRWtrq15ACQDc3d3ZUFJoaCh4PB5bGWiUotAJGb0M/ULXrfLBPGdCHcwvAOYHl7kA02g0bFpy8GSZ7k2nwXQn4QYb7kbYpEmT9Mp66j5nLlaZSU3dVXnMSdDW1pY9OTK/rGxsbNjV7MzzsRpImOhaWloMhlGYTXcSxN7eHt7e3uByufDy8mLDKMy+t7f3qL/peO7cOezYsQM5OTlQKBSYO3cuXYzegfr6eqSnp6Oqqgoffvghnnrqqdv6cLp582a8/vrr2L59O9avX38fRkrGAmaCUjcwwQQkmfOmodcA+kFK5uKLofshXPdGmKFz6d2ERXTdTXhFd6JYN2Sqe1GgexNS9yJ1cCjH0dERJiYmcHBwYC9eDb1mvF5U3k+GwiiFhYVsoMpQGCUuLm7cVRcbLeRyOebNmwexWIyzZ8/ezx6xZAJhzknMuWNwJQ3mJh1zzad7ftI9H+mGCnWvD3X/DmDo+W24c9ZwNw0Nud0AzS+p2sKcZwYbPKnKXGfW1taiqakJs2bNYs+dugsyBp9TmRulutepujdamb+fOVcyfy9zk5aQe+HXv/41jh8/jsrKygnbsmOsUCgUOHHiBHJycrBv3z6o1Wo89NBD4PP5WLlypVGCwsy1DLPYbXBFEKYaCFOdUKvVstcyzCPz33XnEodbmDb4XMMYPG+oy1AgcnClL+aR+X3LVLG0t7dnA+zMc2b/XrR2IYYVFBRg3rx5SE9Px86dO0f8/Y8cOYJVq1YhNTUVu3btuudVLA0FTXTn9mhxGSG3p6+vD2VlZSgpKYFAIGAf6+vrAdz4XB4ZGYmpU6eyIZOoqCiq8vr/qdVqvUBpS0sLu6+7KG/w/UONRjPkeo4JcTIGL0DQDaUw9+OYhWG6z5mKK25ubmyY08XFZcK05RwYGIBAINBr93Tt2jUoFArY2dlh+vTpmDlzJmbOnIkZM2aM2WvE/v5+1NfXQywWo7GxESKRiC2eoBsY6e/vH3Yho+61O7PPLCrUDa64uLjA29sbvr6+8PLygre391jsREGhE0IIGS1kMhmampr02vbo7ldXV+tNgltaWsLT0xMcDgeenp5s+x7dfQ6HY/QbnVR28+4pFAq89dZb+Otf/4qHHnoIW7duRXBw8C2/7u2338Yf//hHfPLJJ/jtb397H0ZKCCH318DAAEQikV4QRSAQQCAQQCaTwdTUFD4+PnpBFOZxuGp35PZ1dnZi/vz56OrqwtmzZ+Hp6WnsIRFCDGhvb8eqVatw6dIl7Ny5EytXrjT2kAj5RYRCISIjI7Fjxw5kZmYaezjEAI1Gg/z8fGRnZ2P37t3o7e3FjBkzwOfzsW7dOro5Tca9qqoqJCUlISoqCocPHx7xG0Vff/011q9fj0cffRQ7duwYUlF0pNxsDm/NmjVjoo0HIcaiVCpRWVk5ZLFMeXk5NBoNzM3NERQUNGRuIjw8nKpLkVGtpqYG58+fR0FBAQoKCtgFYGZmZggODkZ8fDySkpKQmJiIsLCwUdXam9xXFDohhJCxZKwHUwZfvPb397MTURRAubX8/Hz8+te/RkVFBZ599lm8+eabw66SYmzevBmbNm3CM888g48++mjCJK4JIRPbcGGUkpISKBSKYcMokZGRY3ElgVG1trYiOTkZkyZNwqlTp+hcTsgoNTAwgDfeeANbtmzBq6++ivfff58mt8mYsWzZMtTV1aGwsJD+vx1lSktLkZ2djaysLDQ1NYHH4yEzMxOZmZnjsgUAIYaIxWIkJSXB3d0dubm5I16dYOvWrXjppZfw3HPP4e9///uIz+FR0ISQX0alUqGiomJIuEQoFEKtVrM34geHS+hmPBkLJBIJGy4pKChAXl4epFKpXsCE2R544AG610B0UeiEEELGm1sFU5hHhoWFBby8vO57MKWvr0+vTKdCoWD7wS5dupQmqIahVquxfft2vPnmm1Cr1XjhhRfw/PPP3zR8sm/fPvzf//0fIiIisGfPHvj4+NzHERNCyOihUqnQ0NCA0tJSFBQUGJwc4nK54PF4iI+Pp8mh2ySRSDBv3jwolUocPXoUoaGhxh4SIWQY27Ztw4YNG5CSkoJvvvnmlgFmQozt3LlzmD17No4dO4aHH37Y2MMhAMrKyrBnzx7s2rULlZWV8PPzw+rVq7F+/XqEhIQYe3iE3FeNjY146KGHYGZmhp9++mlE2xkNDAzglVdewdatW/Hhhx/ipZdeGrH3pqAJIbemO39Ai1nIeDQ4YHLhwgVcv34dpqamCAkJ0QuYTJs2zWCLV0J0UOiEEEImIrlcDolEYjCUorvPuFkwhXn08/O741Vnuhe7Bw4cQE9PD3g8HtLS0pCSkoI5c+ZQ3+5Burq68Pe//x3/+Mc/oFarsWHDBjz33HPDrjAvLy/HI488ApFIhL/85S/4zW9+Y/TWS4QQMlrQSqW719HRgWXLlqG0tBTff/89kpKSjD0kQsgw8vPz8cgjj8DW1hYHDhwAj8cz9pAIGVZiYiLMzc1x+vRpYw9lQhOLxdi7dy9ycnKQl5cHLy8vrFy5Enw+n875ZMIqKyvDwoULYW9vjxMnTozo4qmmpiasXr0aBQUF2LFjB9asWXPX70lBE0IMG65SamlpKeRy+bDhkoiICLoJT8YEjUaDyspKFBYWorCwEFeuXEFBQQGkUilMTU0RERGBadOmYdq0aYiPj8fUqVOpggm5ExQ6IYQQYlhvby8aGhrQ2NgIsVgMkUikty8WiyGVStnXW1pagsvlwtPTE1wuFxwOB15eXvD29gaHwwGXy4WHh8ctwyMymQx5eXnIzc3F999/j7KyMjg7O2P+/PlISUlBamoqPD097/Xhjxnd3d349NNP8dFHH6Grqwt8Ph8bNmzAgw8+OOS1crkcf/zjH/HBBx8gMTER//znPxEeHm6EURNCyNhAPZl/GZlMhkcffRQnTpzA9u3bsW7dOmMPiRAyDIlEgpUrV6K0tBRZWVlYvny5sYdEyBB79+7FqlWrcOnSJcTHxxt7OBOOVCrFoUOHkJOTg6NHj8LOzg5paWng8/lYtGgRTE1NjT1EQozm0qVLWLJkCQICAnD48GG4uLiM2HufP38eq1atgq2tLfbu3Yvo6Og7fq+bBU2ozTWZaBQKBYRCIYRCIcrLy9lrfKFQCKVSCRMTEwQGBiIyMhI8Ho99DA0NpRvwZMxQKpUoKSlBYWEhrl69isLCQly7dg29vb0wMzMDj8dDbGwsW71k6tSpsLKyMvawyfhAoRNCCCF3rr+/H/X19RCLxWwYRSKRsM8lEglaWlrAnGomTZoEd3d3eHp6wsvLi62ewoRUmNCKbjnSmpoa5Obm4tChQzh58iRUKhViY2ORkpKClJQUJCcn02QXbgRKdu/ejY8//hhXrlxBQkIC1q9fjzVr1gwpm37lyhX86le/QlFREZ5++mm88847IzpBQggh451CoUBVVZVeix6BQIDa2lpotVpYWFggMDBQr0VPREQE/P39x32VKbVajY0bN+Jvf/sbfvvb3+Jvf/sbTdARMkopFAo899xz2LFjB1599VW8//77EzIwR0anvr4+REVFYcaMGfjmm2+MPZwJQy6X4+TJk8jOzsbBgwcxefJkpKSkIDMzE8uWLaNzOiEAjhw5gtWrV2PevHnYs2fPiN2s02q1+Oijj7Bx40akpqZi586dcHBw+MXv09raikOHDuH777/HyZMnoVQqMXfuXPD5fKxYsYLmf8i419HRgfLycpSVlaG8vJzdr6urg1qthqmpKfz9/cHj8fTCJeHh4dQWh4wpvb29EAqFbAtpZpPL5ewiKd0WOfHx8RQwIfcShU4IIYTcWyqVCm1tbWhqamLb9gxu5SMWi9HV1cV+jYWFBZydnYe08nFyckJTUxNKS0tx4cIFNDY2wtXVFQsXLsTChQsxd+7cES1nOlbl5eXh888/x759+6DRaJCeno7HH38cKSkpbBsIjUaDnTt34g9/+AP6+vrw+9//Hs8++yzs7OyMPHpCCBm7uru7UVlZOaQsLxNGsbe3R3Bw8JCyvOMxjLJ3716sX78ekZGR+M9//gNvb29jD4kQMoxt27Zhw4YNWLBgAb7++us7usFFyEh7/vnnkZ2djZKSEnh5eRl7OOOaWq3G6dOnkZWVhQMHDqC/vx/Tp09HZmYm1qxZA3t7e2MPkZBRQavV4t1338Xbb7+NJ554Ap9//vmILYKqra3Fk08+iXPnzuG9997D7373u190fVBeXo6DBw/i+++/x88//wxzc3OkpKRg6dKlWL58OVxdXUdknISMJhKJBAKBADU1Ney1d01NDWpqagBArzJpQEAAe/0dHh4Oa2trI4+ekF+ms7MTJSUleuESpgqvg4MDIiMj9cIl1A6aGAGFTgghhIwOMpnMYCBF98/q6+uhVqvZr7G3t4eVlRWUSiW6urqg0Wjg7u6OqVOnYt68eVi0aBEiIyMn7IrN7u5uHDhwANnZ2Th16hScnJywZMkS8Pl8LF68GCYmJujr68MHH3yAjz76CKampnjxxRexYcOGIdVRCCGE3LnOzk5UV1cPCaMwk2GOjo4IDAwcEkYJCAgw8sjvTnl5OVauXImmpiZ88sknWLt2rbGHRAgZxvnz58Hn8+Hg4IADBw4gLCzM2EMiE9jPP/+MpKQkfPHFF8jMzDT2cMatgoICZGVlYc+ePWhpaUF8fDwyMjKwZs0auLu7G3t4hIwq3d3deOKJJ3Do0CG8++672Lhx44i8r1arxfbt2/HKK6/Ax8cHO3fuxLRp0275dRqNBoWFhWwLLIFAgClTpmDevHlITU3F8uXLKTBGxgWVSoWGhga9a+jS0lK2XQgAODk56YVKmEc/P78JOydMxi6tVova2lpcu3aNbY9TWFiIxsZGAIC3tzdiY2P1Nl9fXyOPmhAAFDohhBAy1kilUoOBlIaGBlRVVaGhoQFyuZx9/aRJk2BlZQUPDw9ERUXB19cXnp6ebPUUDocDX19f2NraGvGo7r3Kykrs2bMHe/bsQUlJCby9vbFixQqkpqZi9uzZ6Ovrw9atW7F161ZoNBr85je/wbPPPgsul2vsoRNCyLgllUqHBFFKSkrQ3NwM4Mbk2eCJs8jIyDHVe10mk+Gdd97BBx98gBUrVuCf//wnlfQmZJQSi8VYsWIFysvLkZ2djaVLlxp7SGQCUigUiIuLA4fDwcmTJ8ddJTBjKy0tRU5ODr7++mtUV1eDx+OBz+fjscceQ1BQkLGHR8iodPXqVTzyyCOQy+X4z3/+g5kzZ47I+9bX1+Opp57CmTNn8PLLL+Odd965aWsPmUyG3NxcHD58GIcOHUJTUxP8/f2RlpaGtLQ0zJkzB2ZmZiMyNkLuN2ahhm7VktLSUgiFQnYBIofDGbJIIyoqioKSZMzq6elBRUUF2x5HIBDg6tWraG9vB3Dj/3nd6iUJCQljaj6ITDgUOiGEEDL+dHV1oaqqCrm5uTh37hyKi4vR2NgIjUYDCwsLmJiYQCaTQfcU6O7uDg8PD3C5XHh6esLT0xNeXl5sOMXDwwPu7u7jIiFfWlqKPXv24ODBgygqKoKtrS0WLFiAJUuWYPbs2cjJycEnn3yC1tZWpKen4/nnn0dSUpKxh00IIROGoTBKUVERWltbARgOo0RHR8PNzc3IIx/eyZMnsX79eqjVanzyySdYsWKFsYdECDFALpfjmWeeQXZ2Nt577z28+uqrdNOf3FebNm3C1q1bUVxcDH9/f2MPZ1xoaGjAd999h6ysLFy5cgVcLhfp6eng8/l0nUfITTBVSF566SUkJCRg9+7dI3KzT6VS4bPPPsObb74Jb29v7Ny5EwkJCQZf297ejh9++AGHDx/G0aNH0d/fj9jYWKSmpiItLQ3x8fF3PR5C7hetVov6+noIhUKUlZWhvLwc5eXlKCsrY691ra2tERYWhtDQUPB4PISGhiIsLAwhISE3DWURMtpJJBI2WMKETJj2OHZ2dggJCQGPx2MDJjExMeN+kSwZdyh0QgghZGKQSqU4e/YsTp8+jdOnT6OkpASTJk1CcHAwgoOD4erqCmtra3R1daGxsRFNTU1obGxkSzUCgKmpKdzc3ODl5QUPD49hH8dSOKWlpQXHjx9nJzB6e3vB4/GwZMkSWFlZ4dixY7h48SJiYmLw5JNPYt26dXBycjL2sAkhZEIyFEbRXQVjKIwSExMzaiqLdHZ24qWXXsJXX32FxYsX4+OPP6YbioSMUtu2bcNzzz2HFStWYMeOHbCxsTH2kMgEUFhYiAceeAD/+Mc/8Nvf/tbYwxnTOjo6cPjwYbbVqqOjI1JTU5GZmYn58+dTmIyQW6iqqsITTzyBS5cu4e2338arr74KExOTu37fo0eP4sUXX0RjYyNee+01vPLKK7C0tNR7TU1NDds258KFCzA3N0dSUhJSU1PB5/Ph6el51+Mg5F5iqlQzG3PtKhQKh22Jw+yHh4ePmTlVQgwxVL2ksLAQ169fB/C/6iXMvE18fDz9f0/GCwqdEEIImZja29vx008/4cyZMzh37hxKSkqgVqvh6+uLxMREzJgxAzNnzkRISAi6u7v1WvkM96jLyclJr4WPoUcfHx+Ympoa6TswVH9/P3Jzc3HkyBEcOXIEYrEYnp6emDZtGjo7O3H58mVoNBqsWLECTz75JJKTk+kDMSGEjAISiUQviDK4x/XgMsQ8Hs+oq2bOnj2LZ555BnV1dXjjjTfw8ssvw9zc3ChjIYQM7+zZs+Dz+fDw8MCBAwcoJEbuqZ6eHiQkJIDD4eDUqVN0nXEHZDIZDh8+jKysLBw/fhympqZITU1FRkYGFi5cSG03CLkNTHWTl19+Gf7+/vjqq68QGxt71+/b0NCA119/HdnZ2UhNTcXHH38MPz8/AEBfXx9Onz6No0eP4tixY6ipqYGrqyvS0tKwdOlSPPTQQ7C2tr7rMRAykvr6+lBZWYmKigpUVlZCKBSy+x0dHQAAS0tLBAcHIyQkhH1kKpc4Ozsb+QgIuTsajQa1tbW4du0aioqKUFRUhGvXrqG2thZarRYODg6IiopCdHQ0pk6diujoaERGRlL1EjKeUeiEEEIIAYDe3l5cvXoVeXl5OH/+PC5cuIDr16/DxsYGMTExiI+PR1JSEpKTk+Hq6jrk6+VyOTo6OsZNOEWr1aKwsBBHjhzB8ePHcfHiRahUKnh4eMDExARisRgeHh5YtWoVlWUmhJBREnJgEgAAIABJREFUylAY5erVq+jr6wNgOIwSGxt7XyoaMGXF33jjDTg7O+NPf/oTMjIyaOU1IaNMQ0MDVqxYgdraWuzevRspKSnGHhIZpzIyMnDixAlcuXIFXl5exh7OmKFQKHDixAnk5ORg//79kMlkmDt3LjIyMrBixQq6sUHIL1BcXIznnnsO+fn52LRpE9544427Dmu1t7dj8+bN+PTTTxEQEICtW7di/vz5EAgEbMjk3LlzUCqViI2NxcKFC7F48WLMmDGDwnfE6AYGBiASiYZULKmpqUFdXR00Gg2A/11XBgQE6FUv8fX1HZEKQYQYG1N1Vrc9zuCFPkxbHGZuhaqXkAmIQieEEELIcGpqanD+/Hk2iFJWVgatVouAgAAkJiayQZTY2Njb/hA5VsMp/f39uHLlCvLy8pCbm4uzZ89CqVTC1NQUAwMD4HA4WLt2LdavXw8ej3dPxkAIIWRkGAqjFBYWor+/H4DhMEpcXNw9WWEpFovxxz/+ETt27EB8fDw+/PBDCjISMsrI5XL8+te/xjfffIP33nsPGzduNPaQyDjz8ccf48UXX8SxY8fw0EMPGXs4o55Go0F+fj5ycnLw7bff4vr165gxYwb4fD7Wrl1rcJEEIWR4nZ2deOutt/DZZ58hPj4en332GeLi4u7qPbu7u/Hhhx/io48+grW1NX73u98hIiICR48excGDB1FfXw9nZ2fMnz8fKSkpWLx4Mby9vUfoiAj5ZZh2OLqhEua5XC4HYLgdTkBAAMLDw6kSDxk3Ojo6UFJSgtLSUhQXF7OPUqkUAODh4YHIyEhERkYiIiIC0dHRiIiIoFakhNxAoRNCCCHkdnV3d+PixYs4f/48CgoKcO7cOXR1dcHOzg7R0dFsonkkejH29fVBLBajpaUFjY2Nwz729PSwX2NiYgJ3d/dhgykeHh7gcDhwc3O769U6fX19OH/+PM6cOYPDhw9DIBCwKxzs7e0xY8YMPProo1i7di2VcSaEkDGAWcWmG0QRCAQQCASQyWQwNTWFj4+PXhCFebSysrrrv7+goAAvv/wyzp49i5UrV+Ltt99GRETECBwZIWSk/OMf/8DLL7+MVatW4d///jfdYCAj4tKlS5g1axbeeOMNvPHGG8YezqhWWlqKnJwcZGVloba2FjweD3w+H5mZmQgICDD28AgZc7RaLbKzs/Hqq69CpVLhzTffxHPPPXdXlRkUCgW++uorvPnmm+jt7cX06dOhVquRn5+PgYEBxMbGIiUlBSkpKZgzZw7Nl5D7hgmWDK5aUlFRwc4tWlpaIiAgYEjVkujoaNjb2xv5CAgZOUqlEpWVlXqVSwQCgV5rnKCgIL15j4SEBHh4eBh76ISMZhQ6IYQQQu7UwMAArl69iosXL6KgoACXL1+GQCDAwMAAHB0dER8fj2nTprGP/v7+Iz6GO62cYmlpOWw4xcnJid3ncDi31eqgt7cX586dw549e3D69Gk0NjZCo9Fg0qRJcHd3x/Tp07F27VrMnz+f+rYSQsgYMlwYhVn1NlwYJSIiApaWlr/47zt48CD+8Ic/oLS0FKtXr8abb76JsLCwe3BkhJA7cfz4cTz66KPw9fXF/v374efnZ+whkTFMKpUiPj4eAQEBOH78OJXgN6C+vh67d+/Gl19+CaFQCF9fX6xZswZPPPEEnR8JuQtnzpzBxo0bUVBQgN/85jf405/+BCcnpzt+v56eHmzduhUffvghenp6YG1tje7ubri4uGDu3LlISUlBamoqPD09R/AoCNF3/fp1VFVVobq6GlVVVexWWVmJ9vZ2AICFhQWCgoIQEhKC4OBghISEsJu7u7uRj4CQkaVUKiEUCodULmHaQ1lbWyM8PBxRUVGIiIhgH6nyFCF3hEInhBBCyEhSqVSoqKhAQUEBu126dAlKpRIODg6IjIzUq4jC4/FuK9Rxt4YLp0ilUr0/a2hogEqlYr/O0tJSL4RiKJji6ekJLpert0JnYGAAP/74I7KysnDmzBlIJBIwHzns7e0xe/ZspKSkID4+HgkJCbCwsLjn3wNCCCEjR6VSoaGhYUhfY6FQCLVaDTMzM3C5XPB4PL2+xmFhYbe8qajRaLB371688847EAqFWLt2LTZt2kQ31wgZJaqqqpCeno7m5mbs2bMH8+bNM/aQyBg0MDCAtLQ0lJaW4sqVK3BxcTH2kEYNiUSCnJwc5OTkID8/H87Ozli5ciUyMjKQmJh4X64fCRmvCgsLsWnTJrad15YtWxATE3NH76VWq5Gbm4vNmzfj/PnzGBgYwKRJkzBt2jQsXboUCxcuRFxc3F1VwSVksObmZjZMohsuqa6uZluAmJubw8/PD4GBgUMCJj4+PhTyJOMOU7lEd6GMboso3cUyv3R+ghBy2yh0QgghhNxrfX19uHr1Ki5fvsxWRBEKhdBoNHB1dcW0adMQGxuLmJgYREdHIygoyKgfeKVSqcFAiqGwii4nJyeDgRQOhwM7OzuUlJTg+PHjuHz5MhQKBSZPngyNRgMLCwvExcUhISEBsbGxiI2NBY/HozKzhBAyBjHhy8FVUXTDKMHBwUNa9Bia7NFoNNi9ezf+9Kc/oaKiAsuWLcPGjRvx4IMPGunoCCGM3t5ePPHEEzh48CDeffddbNy40dhDImPMM888wwbUExISjD0co+vq6sLBgweRk5ODY8eOwcbGBkuXLgWfz8eiRYtgampq7CESMqbV19fj/fffx44dOxAXF4c///nPmD9//i9+H4FAgFOnTuHQoUP46aefoFQqMXnyZERHR2PDhg1IT0+/q4ophAD6rXB0b6BXVlaiu7sbwI1gibe3N9sGR7cdTmhoKJ03yLjU1dWF8vJylJaWso9lZWWor6+HRqOBubk5QkJCEB4ejvDwcPB4PHa+geaZCbnnKHRCCCGEGENPTw8KCwvZIEphYSEqKiqgVqthbW2NyMhITJ06FVOnTkV0dDSio6Ph4OBg7GHruVVrHyaYIhKJMDAwwH6dpaUlrK2tYWZmhr6+PvT19UGr1cLCwgIDAwNQq9UwNzdnq8IwQZTo6GhYW1sb8YgJIYTcKUMrj5iJImZyKCgoaEgYJTw8HMCNtjubN2/GxYsXkZycjI0bN+Lhhx+m1d6EGJFWq8WWLVuwadMmrF27Ftu2bYOVlZWxh0XGgC1btuC1115DTk4OVqxYYezhGI1cLsfJkyeRk5ODffv2Qa1W46GHHgKfz8fKlSthY2Nj7CESMuZVVlZi8+bNyM7ORmBgIN577z2kp6ff9mfI5uZmnDt3Drm5uTh69CgaGhpgamoKtVoNR0dHPPXUU3jrrbfo55X8YhKJhA2T6G5CoRC9vb0AbrTC8fLyYsMkERERbLjEz8+PquiQcYsJXg1u81tbWwutVmtw/iAgIOCO2/wSQkYEhU4IIYSQ0UK3NQ/zgfrixYtobW0FAHA4HL0SgPHx8QgPDx/1F5lqtRqtra1oaWmBRCJBa2srxGIxWlpa2JY+IpEI7e3teq19ALCr3tVqNSZNmgQHBwd4eXkhPDwc8fHxmD17Nng8HhwdHY1xaIQQQu6SQqFAVVWV3rlPdzLJwsICgYGB7PkPAE6cOIHTp08jKCgIzz77LJ588knY2toa+UgImbh++OEHrFu3DgEBAdi/fz98fHyMPSQyiu3duxerV6/G3/72N7zwwgvGHs59p9FokJ+fj+zsbOzevRu9vb2YMWMG+Hw+1q1bR22GCBkh165dw5///Gfs3bsXgYGBeO2115CRkXHLqrLt7e24cOEC8vLykJubi4KCApiamsLLywsymQytra2YNm0aXnjhBaxevZpWzpNhMe1IB4dKampqIBAIIJPJANyoGjy4Wgmz+fv7U8iejGsNDQ0QCoUQCAQQCARs9ZL29nYAN1q0MxVLdB8pdEXIqEShE0IIIWS0q6+vR1FREYqKinDt2jVcu3YNVVVV0Gg0sLOzQ1RUFKKjoxETE4OoqKgxHcLo7e3F5cuXceLECZw/fx5FRUXo6uqCqakpbGxsoFaroVAohoRTJk+eDBsbG7i4uMDT0xPBwcHgcrlwdXWFh4cHPDw84ObmBg6HA3t7eyMdHSGEkNvV3d2NysrKYVc22djYwMrKClKpFObm5nj44Yfx4osvYvbs2TQxS4gRVFZWYvny5Whra0NOTg7mzJlj7CGRUejixYuYO3cuMjIy8K9//cvYw7mvSktLkZ2dja+++grNzc3g8XjIzMxEZmYmOByOsYdHyLhx5coVbN68GXv37kVkZCReeeUVrFu3btiwSX9/P/Lz85Gbm4vc3FwUFhZi0qRJiImJwYMPPoienh788MMP6OnpwbJly/D0008jJSXlPh8VGa3a29tRW1urFyhhnotEIqjVagCAm5sbgoKC2C0wMJDdd3Z2NvJREHJvKZVKNDY26rWKKi0tRVFREXp6egD8L3ylW/U0IiKCgleEjC0UOiGEEELGIqZNQUFBAbs6/OrVq2wS3MnJacgH9aioKLi7uxt55L9cWVkZTp06hXPnziE/Px+NjY0wNTVFaGgoXF1dYWpqiu7ubojFYjQ3N7NVUSwsLADc+F5pNBr2/SwsLODs7AwnJyd4enqCw+Gwj7p/5uTkBA6HQxc3hBAyinR2dqK6upqdsGJa1XV0dAAAzMzM4Ovri+nTpyMyMlKv1C4h5N7q6elBZmYmfvjhB3zyySf41a9+ZewhkVGkoqICiYmJSExMxL59+25ZbWA8KCsrw549e7Br1y5UVlYiPDwcq1atwtq1axESEmLs4REybmg0Ghw5cgRbt25Fbm4uZs6cid///vdITU0dcj2vVCpx8eJFnDp1CqdOncLPP/8MlUoFHo+H+fPnY86cOVCpVPjuu++wf/9+uLq6IjMzExs2bICXl5eRjpAYi0KhQF1dnV6YRHe/u7sbAGBqagoul6tXpYQJlgQGBtLiJzIhNDY2QigUQigUory8nN0XiUTQarUwNTWFn58fwsLCEBYWhpCQEISGhiI8PByurq7GHj4h5O5R6IQQQggZT+rq6lBWVoaSkhL2sby8nE2Oe3p6gsfj6QVSeDzemFpZIZFIUFBQgLy8PJw/fx6XL1+GQqEAh8NBXFwcQkND4ejoCLlcDqFQiKKiItTU1ECtVsPMzAze3t5wcXGBjY0NW4qxs7MTTU1NaG1tZVeiAIClpSWcnJxuK6Di6elprG8JIYRMeG1tbfj888+xa9culJWVwcLCAmZmZmw/dENhzMjISHh4eBh55ISML1qtFlu2bMGmTZvw1FNP4eOPP4a5ubmxh0WMrLq6GsnJyfD29sapU6dgbW1t7CHdM42Njdi3bx9ycnKQl5cHLy8vrFy5Enw+H0lJScYeHiHjSnt7O7Zv347PPvsMTU1NWLZsGV544QXMnj2bfU1/fz+uXLnCzh+cPXsW3d3d8PDwwKxZs5CSkoJFixZBKpXiiy++wNdff43Ozk4sWrQI69evR1paGkxNTY14lORek0qlBlvg1NTUoL6+np0jMtQGh5kj4vF4sLKyMvKREHLvDVe1pLi4mA1hOTo6IjAwUK9ySUBAAMLDw8f1Z0BCCIVOCCGEkAmhvr5+SBilrKyMDaN4eHjo3YhjwihTpkwx8shvrb+/H5cvX0ZeXh4uXLiACxcuoL29HZaWlpg2bRoeeOABxMTEwNnZGX19fRAIBGx1GKZNg5mZGbhcLng8HgIDA+Ho6Ag3NzfY2tpCKpWiqakJEolEb3+4gMrNQikUUCGEkHuvuroa//73v/Hll1+ivb0dDzzwAHg8HiwsLFBRUYGioiK0trYCMBxGiY6Ohpubm5GPgpCx7fDhw3jssccQGRmJvXv3UsBrAhOJREhOToaDgwNOnTo1psLut0sqleLQoUPIzs7Gjz/+CHt7e6SlpYHP52Px4sUToqoLIffT1atX8emnn+Kbb76BpaUlnnzySTz77LPw8/NDV1cXzp8/j3PnzuHs2bO4fPkyVCoV/Pz8MHv2bHYLDg5GR0cH9uzZgy+++AKXL19GUFAQ1q9fj8cff5yu2ccRhUIBsVhsMFRSUVHBzosx80KDgyVM1ZKx2saakF9KrVZDJBKhsrISlZWVqKio0KtaotFoYGJiAn9/f4SGhiIsLAyhoaEICQlBeHg4XUsTMnFR6IQQQgiZyCQSCQQCgV5C/dq1a2hrawOgv5JjLKXThUIhG0C5dOkSSkpKoFKpYGdnh9jYWMTHxyM+Ph5RUVGYNGkSysvL9b4HZWVl6O/vB6B/Q1L3++Dl5YX29na0tLSgubkZra2taGpqQktLC9ra2iAWi9HW1oaWlhZcv35db3w2Njbw8PCAh4cHXF1dweFw4ObmBldXV3h4eLD77u7ucHJyMsa3kBBCxjyVSoWDBw/iq6++wvHjx2FpaYn09HSsW7cOcXFxKC8v1zsH3qpNXUxMDFxcXIx8VISMHUKhEMuXL0dPTw/27duHBx980NhDIvdZY2Mj5syZAzs7O5w6dWpMBNpvl0wmQ25uLrKzs3Hw4EFMnjwZKSkpyMzMxLJly6jCDyEjrLu7G7t378b27dtx+fJlhIeHY8OGDVi0aBGKi4vZSiYXL16ESqVCQEAAEhMTkZSUhIceegj+/v4AALlcjpMnT+r97KalpeHpp5/G/Pnzqb3uGKTRaCAWiw22v6mpqUFzczP7Wnd3d3aOy9/fX2/f29ubrYZLyHin1WrR2NjIBkuqqqpQWVkJoVCImpoaKJVKAMCUKVMQFBTEBkuYLTg4mD7rEEIGo9AJIYQQQoYSiURs/83y8nJUVFSgoqICDQ0Nen04Q0JC9PpwhoaGgsPhGHv4Q6hUKlRUVKCgoEBvk8vlsLW1xdSpU9kgSnx8PIKCgtjvAfN9KCsrg1AoZAMktra2bJI/KCgIwcHB7OPgm5JKpRJtbW1sKEU3oMLst7W1sZsuc3NzNoDi7u7OBlI4HA5cXV2H7JuZmd237yshhIwVUqkUOTk5yMrKQn5+PpydnbFy5UpkZGTotTsYHMYsLS3FtWvX2DY9HA5nSGWwmJgY2NraGuvQCBnVuru7kZGRgePHj+Ozzz7D+vXrjT0kcp+0tLQgOTkZAHDmzBm4u7sbd0AjQK1W4/Tp08jKysKBAwfQ39+P6dOnIzMzE48++ijs7OyMPURCxp2CggJs27YNu3btgkqlwoIFCxATE4Ouri7k5eXhypUrmDx5MkJDQ5GUlITExETMmzcP3t7e7Hvc7Gd3zZo1sLe3N+IRktsxXAsciUSCuro6dtGQubk5vL29DVYrCQ4Opn9rMuHo/uzoLrYTCoXsNa6FhQUCAwPZxXbMFhERMSrneAkhoxaFTgghhBBy+/r7+9myihUVFXqBFKZ3p729PRtCYQIpzDaaqqMolUoUFxfrhVCKi4uhVCpha2uLmJgYTJ06FdHR0YiKikJkZCTs7OzQ3t6OsrIy9tiFQiEqKytRW1sLhUIB4Eb/0qCgIL2NCaXcTplJqVQ6pJ2PVCod8ryxsZH9vjMsLS2Hbesz+DmHw6GVXISQCae+vh67d+/GF198gYqKCoSHh2PVqlXIyMhAYGCgwa8xFEa5evUq+vr6ABgOo8TGxsLGxuZ+Hhoho5Jarcbrr7+OLVu24Fe/+hU++eQTCsmOcxKJBPPmzcPkyZNx5syZMV9mvaCgAFlZWdi9ezdaW1sRHx+PjIwMrFmzZlyEaQgZbcRiMb799lvs3LkTpaWl8Pb2hqenJ5qbmyESiWBubo5p06Zh9uzZmDVrFpKSkoaECVQqFX788Ufs27cP3333HTo6OjBz5kw8+uijWLVqFVxdXY10dGQwjUaDpqYm1NbWoq6ujt3q6+tRV1cHkUjEVl2wsLCAj48P/Pz89DZfX18EBATQDXIyIV2/fp2tVFJRUcFWL6msrGTnDK2trdm5Sd0tJCSEPssQQkYKhU4IIYQQMjKY9Lxucr60tBQVFRUYGBgAoN+uR7dtT2Rk5Kjoj6tSqfSCKNeuXUNpaSl6enowadIk+Pn5sQEUJowSEhICU1NTaDQaiEQiVFVV6W2VlZWorq5mAykODg4GAymBgYHw8PD4xWOWyWRDwijD7be0tECj0bBfa2lpaTCMYmjfzc0NpqamI/a9JoSQ0eDChQv45ptvsGfPHly/fh2zZs3CqlWrsGzZMr0VssMxFEYpLCxkV1saCqPExcWNqhAmIffLnj178OSTTyIuLg45OTk0wT1OVVVVYcGCBbCwsMCPP/44Zm8AlpaWIicnB19//TWqq6vB4/HA5/NvGlAkhNy5np4efPvtt9i2bRuuXLkCMzMzTJ48GXK5HNbW1oiNjWUrmcyZM8dgxQq5XI4TJ05g3759OHToEKRSKeLi4sDn8/Hoo4/C19fXCEdGAMOVSiQSCZqamlBeXs4Guc3MzMDlcsHhcODp6Tlk/sjX1xcmJiZGPhpC7j9DP0OlpaUoLS1FZ2cngP/9/Bhqk+7n50ftowgh9xqFTgghhBBybymVSlRXV6OiogJVVVWorq5mH0UiERtIcXFxQWBgIIKCgoY8Gnt1pO5NxYKCAggEApSUlEChUMDMzAzBwcHszcT4+HhERETA399fr4qIoVCOoZKWXl5eBkvBBgUFwcHB4a6OQ6FQoK2tDS0tLWhpadHbb21tZVsAMW1+mH8bAJg8eTLbwsfd3R0eHh5wdXWFm5sbu8+0+nFxcaEbqoSQMUWlUuHYsWPYtWsXjhw5gt7eXiQkJCA9PR3Lly9HWFjYbb/XwMAARCKRXhBFIBBAIBBAJpPB1NQUPj4+ekEU5tHKyuoeHiUhxldUVITly5dDpVLhu+++Q0JCgrGHREZQaWkpFixYAA6Hg6NHj465SgIikQj79+/HV199hcLCQnC5XKSnpyMzMxPx8fHGHh4h4055eTm2b9+OQ4cOobq6ml0g4eLignnz5mHmzJmYMWMGYmNjh62Q1dPTg6NHj2Lfvn344Ycf2NY5K1aswIoVK+Dv738/D2nColAJIXdHpVKxC9mqq6vZjXkul8sB3KhYEhgYyG66c6c+Pj7080MIMSYKnRBCCCHEeFQqFerq6vQupJgKIbrtauzs7IaEUZjNy8vLKBdVSqUSpaWlKCkpQUlJCYqKilBcXAyxWAwAcHZ2RmRkJMLCwhAWFobw8HCEhYXB19dXL4yi1WrR2NiImpoa1NbWso/MflNTE/taFxcXBAQEwN/fn92Y5z4+PiNeql4mk91WBRXmua7hqqgYes7lcqm3MiFk1FAoFDh37hwOHTqEnJwcNDU1ISAgAKmpqeDz+UhMTLyj1mTDhVFKS0shl8uHDaNERETA0tLyHhwpIcZx/fp1rFmzBufPn8e//vUvPP7448YeEhkB//3vf7FkyRJERUXh4MGDY+azXUdHB/bu3YusrCzk5+fDyckJS5YsQWZmJubPn0+tKAkZISqVCkVFRTh79iwOHTqEn3/+GTKZDMCNm6jTpk3DqlWrsHjx4lsGRerq6nDixAkcOnQIJ0+exMDAAKZPnw4+n49HHnkEXl5e9+OQJgylUonGxkY0NDSgvr4e9fX1EIlEEIlEbBscZu7G3NwcXC53SOsbf39/+Pn5wdPTk6otkAmL+VkaHNBiFqgxwRJDVaKZjSqWEEJGMQqdEEIIIWT00l0to1shRLcv6a1WytzvC7KOjg4UFxezYRShUIiysjI0NzcDuDGhFhoaitDQUPB4PDaUEhISAgsLiyHvJ5fLh4RRdJ8z3wcTExNwuVz4+/vD19cXvr6+8PPzg4+PD3x8fMDlcg2+/0jp7+9Ha2srmpub0d7ejra2NrS2tqKlpYV9zlRXaWtrYyelGHZ2dmzFFBcXF7i6uuo9d3Nzg7u7O/vfRjpgQwghhmg0GuTn5+Pw4cPYv38/Kioq4OrqioULF4LP5+Phhx+Gubn5Xf0dKpUKDQ0NeiGUgoICCIVCqNVq9jynG0aJj49HWFgYrWQjY5Zarcbrr7+Ov/zlL3j66afx6aefUhu/MezIkSNYtWoVUlJSsHv37lFftUkmk+Hw4cPIysrC8ePHYWpqitTUVGRkZGDhwoX0OZOQESCRSFBQUIC8vDycPXsWly9fhkqlwuTJk6HRaODt7Y0lS5bgpZdeQmho6E3fS61WIy8vD0eOHMHhw4chEAjg4OCABQsWIDU1FYsXL4aLi8t9OrLxp7OzEyKRSC9Q0tDQwIZKmpub2So0lpaW7ByDj48PGyyhUAkhNxaVicXiIfN2zD6zSA0APD09hyyqYxbaOTk5GfEoCCHkjlHohBBCCCFjU0tLC6qrq1FXV8dexDH7DQ0NUKlUAAArKyu9yiDMZAiz7+joeF/G29nZifLycggEAjaIUlZWhtraWqjVapiYmMDf35+tisKEUkJDQ+Hs7Dzs+16/fn3IxSwzUVRbW8uuHps0aRI4HA58fX3h4+Oj98hs93NFqkwmG7ZiyuDnjY2NUCqVel/PVFK5WRUVZp9CKoSQkVJYWIgDBw5g//79KC4uhrOzMxYvXoxFixZhwYIFI3rDQ6VSoaKiYkhVFN0wim57N+aRwihkLPn222/x1FNPISEhATk5OWOuHQsBdu7ciaeffhqZmZn4/PPPR+3vH4VCgRMnTiAnJwffffcd5HI55s6di4yMDKxYsQK2trbGHiIhY1ZXVxcuX76MS5cu4dKlS7hw4QKamppgYmICBwcH9Pb2QqVSIS4uDuvWrcPKlSvh4+Nz0/eUSCQ4ceIETpw4gePHj6OjowPBwcFIS0vDkiVLMGvWLLrGu026i3mYljfM8+rqanR2drKvdXJyGrKgR/c5VVkgE51UKjUYKmHmJJkFVpaWluzcI1OhWDdYMtoDuoQQcgcodEIIIYSQ8UetVqOxsXFIGIXZJBIJmI9Ajo6OemEUZmNW7tzrFQaDV7gzVV2uXbuG3t5eAMOX1oyIiACHw7np+7e1tRksf8usZLp+/Tr7WkdHRzaIovs98Pb2hq+vLzzodhSTAAAgAElEQVQ8PIx2I+F2QirMfnt7Oxs6YlhaWt6yzQ/z3M3NjVZbE0Juqbq6Gvv378fhw4eRn58PtVqN+Ph4LFy4EAsXLsSDDz54T35nKpVKVFZWDgmjlJeXQ6PRwNzcHEFBQUPCKOHh4XSTgIxKV69eRXp6OkxMTLB//35ERUUZe0jkNmg0GmzatAlbtmzBa6+9hnfffXfUtaJhqlXl5ORg165d6OjowIwZM8Dn87F27VoKORFyB2QyGQoLC3Hp0iU2aFJRUQGtVgsPDw+4ubmhv78fdXV1AICkpCQsX74cK1euhLe397DvK5fLce7cOTZkUlxcDEtLSyQlJWHRokVITU1FSEjIfTrKsUMul0MikRgMlNTU1EAkEmFgYADAjSqxLi4uwwZKgoODx0xrNELulZu1wKmpqYFUKmVfS21wCCFED4VOCCGEEDLxKBQK1NfXDwmlMI9tbW3sa+3s7NiysVwulw1iMJVCPD0970lAQavVor6+HkKhEFVVVaisrERlZSWqqqpQW1vLhiqmTJmCoKAgBAcHIzg4mN2/3ZKcupNUhiaq6uvroVar2dczF9W6k1O6+z4+PkYPbGi1WralT3t7O1paWtDa2jrkOfMa3X9v4EarIqatD9PaR/e5q6sr2+qH2Yx9zIQQ4+rr68OFCxdw6NAhfP/996irq4OtrS2Sk5ORlpaGRYsWgcvl3tMxKBQKVFVVoaCgQC+QUltbC61WCwsLCwQGBiI+Pl4vkOLv7z/qbhSTiae9vR2rV6/GxYsX8eWXX+KRRx4x9pDITfT19SEjIwNHjhzBtm3b8Pjjjxt7SHpKS0uRnZ2N7OxsSCQS8Hg88Pl8PP744/D39zf28AgZM9RqNcrLy1FQUMBuly9fhkKhgL29PSIjI+Ht7Q25XI7KykqUlZXB3t4eCxcuRFpaGhYvXjxs1U6NRoPi4mKcOnUKJ06cwNmzZyGTycDj8bBgwQI8/PDDmD17Nqytre/zUY8eAwMDkEgkaGhoQENDAxobG9HQ0IC6ujp2UUlHRwf7egcHB3C5XL0FJLptcDgcDt0EJxOeQqHQayfFLMwytEjN2dlZr1IJswUEBMDX1/eu26wSQsg4Q6ETQgghhJDBFAoFxGKxwRCGRCJBXV0d+vv72dfrrm4YXIo2MDBwxFv4DAwMoL6+HlVVVbcMpOgGUXQvlj09PW/r71KpVHoTXWKxWG/Sq7GxEc3NzexFuampKTgcDlshxdvbG1wuF1wuF15eXuByufDw8BhVk11qtZoNpLS1taG5uXlIaKW9vV1vY3paM5ydnfWCKS4uLkOCKW5ubnBzc4OLiwuVUiVknKupqUFubi5yc3Nx9OhR9Pb2IiAgAKmpqUhLS8OsWbNgYWFxX8bS3d2NyspKvaooumEUe3t7BAcH61VFoTAKMYaBgQG88cYb2LJlC1599VW8//77Bj8vaLVaFBYWIi4uzgijJBKJBMuWLUNtbS327duHOXPmGHtIAIC6ujrs2bMHX375JYRCIXx9fbFmzRo88cQTCAsLM/bwCBkTJBIJCgoKkJeXh/Pnz6OwsBD9/f2wsbFBTEwM4uPjERgYiO7ubpSUlODkyZPo6OiAj48P0tLSsHTpUiQnJw97I1YgEOD06dM4ffo0fvrpJ7S3t8PZ2RkpKSlYsGABFixYcM9DuqOFVqtFc3MzRCIRe11dX1/P7otEIjQ3N7MLQExMTNh2uYMXwzALYhwcHIx8VIQYn1wuZ4MkuqESJljS1NTEzl/Z2trC19dXr/KxbsCEfqYIIeQXodAJIYQQQsgvpdFo0NzcrLfCqKGhgb2QFYlEQ/oiMxND3t7e8PLy0tvncrkjtoLrZoGU+vp6vf6yg1dq6O7/krK6KpUKbW1tbDhHN6jD7N+qYsrgx4CAgHve2uhuyGSyIa1+hmv/IxaL2e87w9LSkm3rc7NWP8zz0RbUIYTcPplMhp9++gnHjh3DsWPHIBQKYWNjg6SkJCQnJyM5ORnTpk277xWTOjs7UV1dPSSMUlNTA+BGy7XAwMAhYZSAgID7Ok4y8Xz99dd4+umnkZycjF27dg0J737wwQf485//DKFQSO1RRphCobhpIO7SpUtYvnw5HB0dcejQIaP/PpBIJMjJyUFOTg7y8/Ph7OyMlStXIiMjA4mJiRScI2QYWq0W1dXVKCwsxJUrV9hWOV1dXTA3N8fUqVORkJCAhIQETJ06FR0dHTh58iSOHTuGoqIiWFhYYNasWWxLQR6PZ/DvEQqFOHPmDM6cOYPTp0+jpaUF9vb2mD17NubOnYu5c+di6tSp4/I6RyqVGrwuvtlClsELWEZbRVFCRgPdRWKGForV1dWxi4SYNsuDW98wP1sUsieEkBFFoRNCCCGEkHuhu7sbIpEIdXV1aGhoYFcwiUQiiMViiMViyOVy9vXOzs5sGMXLywteXl7w9fVl9318fGBjY3PX45JKpcP2ptUNhtysekt4ePgvDskolUqIxWK9VVuNjY2QSCTs96OpqUkvnGFnZwdvb294enqy3wcOh8NWS+FyuXB3dx8Tk28ymWzYYIqhP9OtHsNgJiKHC6bo/pmrqyvMzMyMdLSEkJupra3FyZMn2ZswTU1NsLW1xaxZs9gQSlxcnNF+t0ml0iFBlJKSEjQ3NwO48btocBAlMjISHh4eRhkvGZ+uXLmC9PR0mJub48CBA4iIiAAAnDhxAosWLQIArFu3DllZWcYc5rjS3NyMRYsWITc3F1OmTBny3//9739jw4YNSE5Oxu7du422+rezsxPff/89cnJycOzYMdjY2GDp0qXg8/lYtGjRmPhcSMj9NDAwAIFAgMLCQna7evUquru7YWpqirCwMEybNk0vZNLY2MhWbDt+/Di6u7sREBCAlJQUpKSk4OGHHx6ySIFpxcNUSfnpp58gEolgbW2NmTNnIjExEUlJSZg9e/aYb0nBLEAYbsFFRUUFenp62NcPvvE9uFWtn5/fiFzrEzIeMBWAmAq7zMIuZr+1tZV9rbOzM/z8/NiKP0y1EubPRrrqMCGEkJui0AkhhBBCiLG0trayQYzBrWuYP5fJZOzrHR0d2XY1Xl5e8Pb2ho+PDzw9PeHt/f/Yu/Pwpsq0f+DfpFnatGm6JW2aLrS0pQtQaqlaRAEBmVFExAF13GUcZ3FG9Bq3cZtLfccZdF7XeUedkVnQF8dxA8XlpwioiLIVCt03uqd7m2bfzu8P3ucxa2lrS9pyf67rXElOTk7OOW2TNM/33HcKtFpt0J7Zo2G329HW1hY0lDIwMMCXHSmUwm6P95h0dnYGDKS0trZCr9d7fckgFouRmJgInU6HpKQkJCYmIjk5GRqNBsnJyUhMTIRWq0VSUtK06gdutVp5Kx/P9j49PT3o6elBd3e3X8sfTyKRiLf1iY+P55esBVB8fLzX/ISEhO/1u0MIGb/GxkZ89dVX2LdvHz766CO0trYiMjISpaWlWLFiBS644AKcd955IQ+SBQqjlJeX89fkQGGU+fPnQ6PRhHS7yfTV09OD9evX48iRI/jHP/6Bc845BwsWLMDw8DDcbjdEIhE+/fRTLF++PNSbOu253W6sXLkSn3/+OdatW4e3336b32e1WvHrX/+ah07+9Kc/nfFgh9Vqxaeffor//Oc/ePvtt+FyubBy5UqsX78eP/rRj6bVZzxCJpPD4UBtbS0OHz7MJ9YiRyqVIjs7G8XFxXw655xzoFAoUFdXh127dmHXrl3YvXs3+vr6oNFosGzZMixfvhwrVqxARkaG13NZLBYcPHgQX3zxBb766it8/fXXGB4eRlxcHBYtWoQLL7wQixcvRklJScg/w4xFX18fOjs70dLSgo6ODt7uhv3P3tLSAqPRyJePjo72qmqakpKC9PR0fj0tLY1aqxLyf8xmM5qbm/nfkm+opLW1lZ+IJBaLkZSU5NVSyjNYkp6eDqVSGeI9IoQQ4oFCJ4QQQgghU9npzqKqr6/H0NAQX14ulyMuLi5gyxp2OXv27HGd8cGqpDQ1NaGlpcWrnVBLSwv6+vr4siqVyqvHtGff6VmzZkGr1Y67jLLNZuNta9rb23k4paurC52dndDr9ejq6kJPT4/X45RKJXQ6HTQaDQ+iJCUlQavVQqPR8Ps0Gs20K/Hscrm8Aijd3d08oNLX14e+vj4eWunt7UVfX59XOWfgVJ9wzyAKmzQaTcD5arV6SrdAImS6qqys5FVQ9u7di+7ubqhUKlx44YVYsmQJFi1ahOLi4hFbYJxJgcIoR48e5WG4QGGUBQsWICEhIcRbTqYDm82GO+64A1u2bEFaWhra29vhcDgAnHrfSk1NRVVVFcLDw0O8pdPb5s2b8cADD/By9K+99hquu+46tLS0YP369aiursbf//53rFu37oxtk8vlwv79+7F161a88cYbMBqNKC0txY033ohrrrlmTK0gCZmJDAYDysvLebiksrISx48fh91uh1KpxPz581FcXMzff0tKSiCXy/0qknz55Zc4efKkV+B1xYoVKCoq8vqfqKOjgz+GPafVaoVWq8XixYt5JRPfx00VLpcLXV1daG1tRUdHBz/Rg11nARPPkz6ioqL4CR+sEqlnmCQ1NZVeiwjxwL4z8m15w243NTXxiq6eFYACnciUkZFBoVJCCJleKHRCCCGEEDLdsX7RrCJIW1sbb1/DLru6uvggDfBd6xqtVsvb1iQnJ/OJzRvLoKbJZOJBFHbmCmsxxNoKOZ1OAIBUKuVVW1goRafTITU1lbfUSUxMnLBjw9rXeLaxYdfb29u9gjuAd09t1sLGN8DD5k1XVqsV/f39Xm1+grX/8bzPF/uyyLfVT7A2QImJiQgLCwvBHhMy/QiCgMrKSuzevRt79uzBV199ha6uLsjlchQXF/Ny9aWlpRPymjmROjo6vIIoFRUVOHbsGD87WKvVegVR8vPzsWDBAkRFRYV4y8lUIwgCli5diq+//pp/jmDCwsLwyCOP4JFHHgnR1k1/hw4dQmlpKT+2IpEICoUCL774Iu6++26kp6fjrbfewuzZs0e9TpfLNe73+sOHD+Nf//oX3nzzTej1euTn5+PGG2/EjTfeCK1WO651EjKdud1uNDU14dixYzhx4gSOHTuGsrIyNDU1AQASExNRVFTEp3POOQeZmZkQiUQATlUW+Pbbb3lVNVaRJDY2lgdFLrzwQpx77rm8ilFPTw++/fZbHDhwgE8DAwOQy+UoKirCueeei3PPPReLFy9Genp6yI4NY7PZeIUSzwFuz4HvlpYWr/cQ3//3fAe/v0/1TkJmokCBEs/rra2tXt85na46rlar5a9ThBBCZgQKnRBCCCGEnA0EQeCVQFg4paOjg09sXldXFzw/HiYkJPBqIKwyCGtfwyqDJCcnQ6VSnXYbXC4XOjo6/CqksJKqHR0d6O/v58vL5XJ+VplnGyHP9kJJSUkTciYdqyjjG0jxnef7ZWV4ePiIgRQ2LzU1dVqVlQ5mrEGVzs5Or7ZMzEhBlUDzKahCyHc8zzTet28fysrK4Ha7p82ZxoHCKEePHoXJZAIQOIxSVFSEyMjIEG85CZUnnngCjz76KK/C4UsqlaK8vBy5ublneMumP6PRiPnz56O1tdXr841UKoVKpcLll1+OP//5z6NuDSEIAjZv3gyj0YjHH3981NtRWVmJN998E6+//jrq6+uRl5eHDRs24LrrrkN2dvaY94uQ6aq/vx/l5eU4fvw4jh8/jvLyclRUVMBoNEIsFiMjIwOFhYVeIRPfYITBYMCBAwfw2Wef4auvvsKhQ4dgs9mCfk5wOBwoLy/3qmBSVVUFQRC8HlNcXIyFCxee8cpSgSp/+g56d3V1eb1HsMHuYGGS9PR0CrkS8n9cLhf0ej0/Uaitrc3vul6v9wqnJiUleX1Xk5KSwqsBse9uznQrPkIIISFHoRNCCCGEEPIdh8OB7u5utLa28vLD3d3dfu1ruru7vQYnIiIieDglMTGRVyphl55tbEYKX5jNZq+Sx21tbWhvb+fX2ZeKjFQqRVJSEtLS0vwCKp6hj4nqo+10OtHd3Q29Xo/Ozk5+bLq7u71a+3R0dPABVODUFzOsdY9Op0NiYiIP9KjVaiQkJECtVvPbM6nvt8ViCVo1JVBQpaOjA4ODg37roaAKIYENDQ1h//792L9/P/bt24dvv/0WRqMRKpUKpaWlKC0txaJFi1BSUjKqgGCoBAqjlJWV8VZggcIo55xzDpXdnuE++eQTXHrppUEDJ8CpzwLnnnsuvvzySzpjdox+/OMf46233vI6M5kRi8V47rnncMcdd4xqXUajETfddBPeeecdJCcno62tbcSfR1tbG95++2385z//wb59+6DT6XDVVVdh/fr1WLx48bj3iZDpwOl0oqamhr/fsfY4rPVETEwMCgoK+PtdcXFx0GpgvmHUI0eOQBAEZGZmYsWKFbjgggtw4YUXIiMjw2/5w4cP81CKSqVCSUkJD5iUlpZOais8i8XCwyO+lTpbW1v5bc+WoAqFgv+vx05CSE5O9pqXmJg4JUO3hISC598ZayfFAiXt7e1obm6GXq+Hy+UC8F2gxLcSrWe4JDk5GTKZLMR7RgghZAqi0AkhhBBCCBk7QRDQ3d2Nrq4uv9CFXq9HR0cHD2SwVgqAd/iCBVI0Gg0PW6jVaj5PrVYHbO9jt9vR29sbsKQrux6oIolvNRLfy7S0NCiVygk7RiaTyevY+IZUenp60NXVhZ6eHq/e4QAQGRkJjUbDwylqtZofNxZSYccpISHhjJ9xONlCFVSZqMo5hISSy+VCdXW114BSZWUlgFPBjeLiYn7W8lQPbTidTrS0tHgFUSorK1FZWQmLxQKJRIK0tDSvIAq7nEnhvbNVTU0NFi5cCJPJhNN9dSUSifDPf/4TN9xwwxnauulvy5Yt2Lhx44jLyOVyHDt2DHPmzBlxuYaGBlx22WVobGzkAZavvvoKF1xwgddyAwMDeP/997F161bs2rULMTExWL16NdavX49LL72UwqJkRmppacGJEydQXl6O8vJynDhxAtXV1XA4HJDJZMjLy8O8efMwb948zJ8/H/PmzYNOpwu4ro6ODl6N5PDhwzhw4AC6u7shkUhQWFjIq5hcfPHFiI6ORm1tLV+2srISR48eRW9vL6RSKebPn88DJsXFxcjPz5+Q4J7T6URXV1fAAAm77Ozs9KpwGRYWxk9Y0Gq1vKJlamoqr3ap0+kQExPzvbePkJnAbrd7/V2xyrW+VW09q46yvzPPQIlnFVn29zYTKrQSQggJCQqdEEIIIYSQyWU2m9HR0eFVBcQzfNHV1cXDF1ar1euxKpXKqxqIVqvl4RQWymC31Wo1fxz7stPzrB72ZQz7coY9r+fH4fj4eGi1Wuh0Ol4y1vOSBWUmejDTM2ThG6zwvd3W1gaDweD1eNbmxzdM4RusYF/azsQzkwIFVYKFVCioQs42nZ2dOHjwIJ8OHTqEvr4+SCQSzJ07FyUlJXyaO3fulC+HHSyMUlFRAavVGjSMUlBQMONCejPZkSNH8MILL+A///kPzGYzJBJJwIocwKnQSUxMDOrr6xEXF3eGt3T6qaurQ2FhoV/o1ZdEIkF+fj4OHToUdBDq448/xoYNG2C1WvnPRyqV4qc//SlefPFFWCwWfPbZZ9i6dSu2b98OsViMFStW4MYbb8QVV1wxIz+TkLMTq9jV2NjI35eOHTuGnp4eAN4Vu4qLi0/7vtTd3Y1Dhw55TZ2dnRCJRMjJycHChQuxcOFClJSUYNasWTxUcuzYMRw9ehQ1NTVwOp2IjIzE/PnzUVhYiAULFmDhwoWYP3/+uAaW2Wdo31aknpenC//7trphlUqm+mcPQs6Ukf7O2Ik23d3dvDoJcKql1Egn2NDfGSGEkDOAQieEEEIIIWTqYMGBkYIX7HpPT4/XF5rAd1+2jDaAAYzuy9Pm5mavL3VYyMP3yxzfeampqZNyplCwkEqg49bW1ga73e71eN/tDxaqmMx9mApMJhP6+vrQ09OD3t5e9Pb2oq+vj0+9vb38PjbPNxgllUqRkJCA+Ph4Pmk0GsTHx3vNj4uLQ1xcHL9OLSBIqDU2NnoFUY4cOQKj0YiIiAgUFRXxgayFCxciOzt7WlQgcDgcaG1t9QqhHD58GDU1NXC5XJBKpUhNTfUKoxQXFyM3N3da7N/Zymaz4f/9v/+HN954A2+//TZ/7/d8XwZOvR7fcMMNePXVV0OxmdOGzWZDcXExH5AeiVgshtvtxmOPPYaHH37Y6z5BELB582b89re/BQC/FkgxMTFYtWoV3n//fTgcDlxyySW49tprsXbtWkRGRk7sThFyhgiCgJMnT6KqqgoVFRWoqqrilUuGh4cBnAqX5Ofne73XzJs3b8QqHQaDAeXl5V5VTKqqqiAIAq9SxqbMzEw0NjZ6VTBpbGwEcOp/IfbexqbTvcexCpa+LVUDtb3x/J8iKiqKVyRJSUnhwX3W5pRNgSpXEnI2mojQVqDLWbNm0fsqIYSQqYBCJ4QQQgghZPqyWCxBQxe+AQy9Xu9V1WQs1UESExPR39/PzyrS6/W8XY7vPM++457thLRaLRITE3npaM95rJLLZFXMGBwc5NVkent70dXVhe7ubh6qYPex+30HoViLH88QhVqt9gpa+E4ztfrHWCuqtLe3Y2hoyG89nr9/I1VS8ZwSExNpYJxMGtaWx3PA68iRI7BYLJDJZMjKyvIaxJrqrXk8ORwO1NbW+lVF8QyjZGdn+7XooTDK1DM0NITt27dj27Zt+PTTTyEWi+F0Ovn7u0gkwq5du7Bs2bIQb+nU9atf/QovvfRS0MCJRCKB0+lEREQEli1bhksvvRSrVq1CVlYWX8ZoNOLmm2/GO++8M2Lro1WrVuGKK67A+vXrkZCQMOH7QshkYpVLPN83jh07xluHsoCH53vHvHnzkJiYOOJ6e3p6cOzYMRw7doxXMKmvrwcApKSk8Aomubm5iIiIQGtrK8rKynDs2DEcP34cJpMJEokEubm5KCwsRGFhIYqKilBYWOhV+dFqtfq1PWX/u7CWqJ2dnejq6vIb5GaVHn0DJKz6Y2pqKqKioibhqBMy/Xh+JxGoKklnZydaW1u9qrWNJkySmpqK6OjoEO4ZIYQQMiYUOiGEEEIIIWcHi8WCnp4e6PV6HrjwbO3D7mPXfUv4e7bxSUxMhEaj4bcTEhJ4ICMyMhJisZiHVAIFYUaqQDKa6iNarRYajWbSyuN6Vvhgx4VdZxU/PK+bTCa/dbDwSUJCAq/wwW57Hi/PaaZWVAkUVAk0ef6u9PX1+f1+AMHDUiNNWq2WKquQcbHb7Thx4gTKyspw9OhRlJWVoby8HMPDw3zAa8GCBXwqKiqaVq1N7HY76urq/AYVq6ur4Xa7edjGN4ySl5d3xoJ1TU1N0Ol01IIkgLa2Nrzxxhv4xz/+gYqKCshkMtjtduTk5OD48eNBj5nL5eJt6gwGA1wuF6xWq1ermYGBgaDP67usL5lMNuIZxyqViv/+yOVyKBQK3h4IOFU9YLLeDz/88EOsXr3aKygik8l4cGfu3Lm49NJLsWLFClx00UUBj2FDQwNWr16N+vr6ESulSKVSXH311di6deuk7AshE8FkMqG2tha1tbWorq5GTU0NampqUFVVxf/O09LSkJubi7lz5yIvLw8FBQXIy8sbsXIJcOo9prKyEsePH0d5eTmf9Ho9ACAxMRHFxcWYN28ekpKSEBYWhvb2dv5+1NTUBEEQoFQqkZOTwyuYzJ07F0lJSUED9+wyUOA+2OC25+dK+txIyKn3+p6eHh7aYtfZJWvh29nZCZvNxh8XEREBnU7n1bLXsyIQu6TKJIQQQmYgCp0QQgghhBASSH9/P/+CiVUyYUEMFlxhAZW+vj6/x0dGRnoFLQJVA2GhEUEQYLPZMDw8zMMdrMw1a/vS09Pj9cWxSCTyCrxoNBokJiYGva1WqydtkNRqtaK/v39UYQo2+fahBsZe/SM5ORmxsbGTsk9TwUhhlWDVVQK1nQICB5pGmmb6sSXj53a70dDQgLKyMh5GOXr0KB9ES09P5yGUwsJCzJs3D5mZmdOq+pHNZkN9fT1vW+A7ACiXyzF79myvFj0FBQXIyMiY8IG6TZs24d1338VTTz2F9evXn1UDgW63m7+39Pf3Y3h4GAMDAzCbzTCZTBgeHobBYIDJZOIDtU1NTbBardDpdIiIiIDb7cbQ0BDcbjcsFotfi7SpzDO8wl6PY2JiEBkZCYVCgejoaCiVSn47NjaWX1cqlYiOjkZ0dDRiY2MRFxcHi8WCwsJCDA0NISwsDC6XC0lJSbjsssuwatUqLF++/LShsU8++QTr16+H1Wr1C+cGEh4ejt7eXhpcIyElCAJaWlpQW1uLmpoaHi6pra1Fa2srBEGARCJBRkYG5syZg9zcXK9wyWgqDQwMDPCWbp7vHVarlVfTys7ORlxcHBQKBYxGI3/d6uzsBABER0cjJSUFycnJiIuLQ0REBIBTwZjOzk4MDAygtbWVt/EBTr1OxMfHB2z76fm5Lz09nSqTkLOe1Wrl1X5Ytc/Ozk5+kgX7f7+zs9OvUmVUVBQ/8YNVAmJ/Z57T6cJohBBCyAxGoRNCCCGEEEImgmdAYKR2K+y+YJUsWGWKQEGAqKgohIeHQywWQxAEuFwumEwm6PV6v/UHCh+MpZKKWq2e1MojTqeTV0rxnFjIJtB9fX19cLvdXutRKBReQZ6R2v7ExcUhLi5uxocpxtoCaCwhoJFCKlqtFvHx8ZDL5SHacxJKnZ2dPIDCwigNDQ1wu91QKBTIz8/H/PnzefuBuXPnQqvVhnqzx8RgMKCurs6rKopnGCU6OhrZ2dl+7Ra+Txhl2bJl2LNnD0QiEYqKivDcc89h8eLFE7xnk89ut/NAJRvg6enpQX9/v1ewxPN6oNZkAPyCFQqFgocuFAoFDAYD2tvbsXLlSiiVSl45JFCII9B97IE3VNgAACAASURBVDmCVUoJCwsbcRDaZDIFfH8HvKusAOBBmJGqr7DgjCAIGBwchMlkgtls9grdmM1mv/sCEYlECA8PR1xcHFJSUqDT6fj7YlxcHG/5p1arkZycDLVajfDwcAiCgM2bN+O3v/0tAPi9FwcjEomwbds2XH311aNanpDvgwUGKysr0djYyF+ja2pqvFriZGZmIjMzk79Gs+ss5DESs9nM2+wcP34cx48fx7Fjx9Df3w8ASE1NRW5uLhITExEeHg6j0YiWlhZUV1fzZcLDw/lnekEQYDab+d894/uZPVighFovkrOdzWZDX1/faSv/jNRud6S/tdjYWOh0OgqTEEIIIadHoRNCCCGEEEJCZTzhAHY2pKdALVdiYmIgl8shkUggEongdrshCAKcTifMZjP6+vp4tRYW9PAcRBKJRLxCCrtkg1Gscotn25z4+Pgz0nN6tOEedn97e7tXyeNAx2ws00wuOT6WY8sm3y9vgdEdW9+w02SHnEhosPY1vhVDGhsbAZyq2lBQUOAV0FiwYAESEhJCvOVjMzQ0hPr6er8wCttPlUqFrKwsvzBKZmbmadcdHx/PBypZdYply5bh+eefx9y5cyd1v0bDYrGgubkZbW1taGtrQ2trq1+4pLu7268iWEREBA8JeoYePK/7XiqVyhkfGpxIBoMBBoOBV2BoaGiAWq3G8PCwV7jHM/DT3d3NB+eZqKgoiEQiHmRhA9wikYhP7LYvu92Oyy+/HNu3b5/kvSVnC4vFgvr6eq+prq4OtbW1aG9vB3CqtVNmZiby8vKQk5ODOXPm8Gm07y8DAwNewRV23bP9mkajQWxsLEQiESwWC4aGhjAwMMCrAIlEIr/PSCqVCjqdbsT2NikpKVCpVBN74AiZRjyraAYKj0xEkIT+zgghhJAJR6ETQgghhBBCphOLxeJV+YO192FTf3+/X9WQQGeLK5VK3nqHleUODw+HVCrlA0pOpxMOhwMWiwVGo5F/mc7OTvetpCKRSLwqigS6HqjyyGSX3R8eHubHxHeQzfPSd57vwBsAyOXygAOiwQZJPe9j7ZRmGovFMuqQCvuieGBgwG89wcIqI7UF0mg0M/a4zmS9vb0oLy9HRUUFP1O8oqKCD2rPmjWLBzPmzJmD/Px85OXlTbuzTNlgv2cQ5cSJE7wVUWxsrF8QZe7cuUhKSgJwqs1bfHy833qlUilcLhc2btyIxx57jC8/0QRBQHt7O5qamryCJS0tLWhpaUFbW5tXmCQiIgKpqanQaDRQq9W8DL1n1QyNRgOtVkttHqYws9nM2wp2d3dj165dqKqqgslkgtFoxPDwMEwmE4aGhrxCnXK5HDExMYiJiYFKpYJKpUJMTAwSEhJwzz33IC0tjSoykFExm82oq6vzC5fU19ejra0NwKlAR0pKCrKyspCVlcXDJbm5ucjIyBjVZwOXy4WmpiZUV1ejqqqKvy81NDTwykMymQxyuRwikQgOhwN2u92vMpxYLIZCoUBMTAySkpKQnp6O3NxcZGdnQ6PRQKfTQaPRQKPRTKtWc4RMFLfb7fW/aW9vL7q6ung72c7OTn69o6PD738wlUrFK3EmJSUhKSmJf85gJ0UkJydDo9EgPDw8RHtJCCGEnPUodEIIIYQQQshMN5pWNoHCAYFCFxKJhA/4q1QqREVFISIiAnK5HFKpFGKxGCKRCFarFSaTCVarFWazmYdWArX9AUZuKxQohKDT6c5IG5dA1WhOVw2kv79/QqurzMTS6Sw8xc6uZ9d7e3v95nle921ZIRaLeXjJs0rC6QJBLGRFppaTJ0/ixIkTfKqqqkJ1dTXMZjMAQKvVIi8vD7m5ucjPz0dubi7y8vKQnJwc4i0fG71ej4qKCr9pcHAQAJCUlISCggIkJSXh9ddfD7oeFhK888478dBDD40ryOF0OtHS0oLGxka/ybMlhUwmQ3x8PJKTk5GZmcnPGGZtKrRa7YyuBEUCY6HDxsZGfia65/W6ujo+eC+VSpGamsp/Zzyn3NzcSQ+gkqnFZrOhvb3dq5IIm06ePMmr77F2OJ4VojIzMzFnzpxRveYNDAygoaEB5eXlKC8vR1VVFdra2qDX6zE4ODiqVlEikQgKhQJxcXHQarWYNWsW5s2bh5KSEuTn5yM1NfV7Hw9CphOLxYLe3l5ezczzf0rfSpps8h2CYv/jaDQaJCUl8esssKrRaLzavBFCCCFkyqPQCSGEEEIIISS4kUIXI01dXV0Bv8gPDw+HSqWCUqmEQqHwq67idrvhdDphs9l4WMVgMPAKCJ4iIyO9KqZ4tv0JVmnlTFUcMZlMo66o4nufr7CwMB7yiYmJQWxsLD+bPNDElmPTTKooYDQa/Sr6eIZSfI8vu26xWPzWpVAoRgyljBRaoTOVzxxBENDc3Izq6mre2qCqqgpVVVW87UxMTIxfECUnJwcZGRlntG3TV199hTfeeAP3338/UlJSxvx4NgDLBmErKytx4MCBgEE9TxKJBHFxcXj88cexcePGgCE1u92OqqoqXm2FPU9zczNvBREbG4usrCzMnj2bX7LrSUlJFCgh49LT04PGxkY0NDSgvr6eX9bX16O7uxvAqQBhamoq8vLyMHfuXF71Jy8vj8Io0xhrURNoampq4oPQnlWfThdGCtYKsLW1FbW1tejo6IBer8fAwAAsFovfQLdYLIZYLOavk54h4djYWP6aN2/ePGRnZyMzMxMFBQU06E1mNPZ3FShQH2yer0AnEASqVpicnIyUlBTIZLIQ7CkhhBBCJhGFTgghhBBCCCETz+l0jiusMjAwEDBgEhYWhpiYGERHR0OhUEAul0MmkyEsLAxisRiCIMDlcsFut3tVV+np6fFbl2/FkYiIiFFXIVGr1ZM6iC0IQtAwytDQEAYHBzEwMIDBwcGAk28lEODUgLRvMIUFV3wDKoGmmTLgNzAwMOoWQGzq6+sLeEzHW7UmKSmJAisTiA1o+rawYYOZEokEaWlpfADTc1Bz1qxZE/6z2LJlCzZu3AipVIrbbrsNDzzwwLjCJ8wdd9yBV155hYdCRsICIbm5ubjvvvsQGRnJwyUnTpxAfX09nE4npFIpsrOzUVBQgIKCAuTk5PBB1ri4uHFvKyHjMTw87BVCYWGoqqoqWK1WiEQiZGRk8N/XuXPnoqioCLm5ufRaOgX09fXxAAm7ZNdbWlr4a1dkZCQyMjKQmZnJLzMzM5GVlYWMjAy43W6vge1g19vb2/1aRrLfAxZ0FolEkEqlkEgkcLvdsNlsPHiiVCqRkZHhNWVmZiI7OxsZGRk0CE5mBKvV6vX/w+nCJL29vX6fMzw/5wYLjnjOo8+3hBBCCAGFTgghhBBCCCFTjdPp5OGKsU6sjL8vqVSKyMhIr1ZAEokEIpEIgiDA7XbD4XDAbrfDYrHAYrHwlh6+VCrVaauNBKtIEh0dPZmHDhaLBVardVwVaoK1BQLGHrLwDPJM95Yb4632093dDZfL5be+sRxL9qV+XFwcnWU9BgaDAXV1daitrUVtbS1qamr4bfYaERkZiZycHGRnZyMnJwc5OTmYM2cOsrOzERsbO67nffjhh7F582bY7XZIpVIIgoDbb78dDzzwAHQ63ZjXt3jxYuzbt29Uy7K/Mc+veBITE1FSUoKCggIeuMnPz0dERMSYt4WQM62jowOHDx/2CpRVVlbCYrEgKioKhYWFKC4u5lNeXh4Nek6wwcFBNDc3o7m5GSdPnkRzc7NXsIS9nkokEqSkpPBQSWpqKtRqNWJiYiCTyWA2mwMOfnd2dqK1tdVvwFupVEKpVPKWjRaLBQaDgYdAxWIx5HI5xGIxbDYbrwYlk8mQnp7OtyMjIwOzZs3i1xMSEs7sASTkexAEgbeZPN3U29vL29z4tkeVSqVISEjgFSETExP5bTZpNBqv2xTAIoQQQsg4UOiEEEIIIYQQMrP4hgROF8LwvT9YWAA49cWtZ1sgz+AKC62w4EqgChlisThgKGU0IRaVSjXprXLMZnPACiqsygqbglVbCVSRQSqVIjo6mod1oqOjvSaVSoXo6Gi/+9h8dt90NN7ASqCy5eOtrjLZ1XmmG892D2wgu7GxEVVVVTxoFhsb69XiwXMaqULK9ddfj23btnm1FpPJZHC73bjlllvw6KOPjil8Ehsbi8HBQa95IpEIYrHY7zUqOjoas2fPxsKFC3HJJZfghz/84YypUkQI43A4cPz4cRw6dIhPJ06cgMPhQExMDBYuXIjzzz8fS5YswaJFi6BQKM7o9plMJvzrX/+CTqfD0qVLJz1o+n11dXXxUElzczNaWlpw8uRJnDx5Ei0tLV5VRTQaDZKSkqBWqxEdHY3w8HBeTcRkMqG3txc9PT3Q6/V+1UgUCgU0Gg00Gg2ioqIgk8kgFovhdDphNBr5YwcHB3lwLiwsDBKJBE6n0+v1TqVSISsrK+Drc3p6esD2YoSEksvlGnV4xHfyJZPJeLtQzyk+Ph4ajQZqtZqHS1iYJCYmJgR7TQghhJCzEIVOCCGEEEIIIcQXa2fDJoPB4HWbhTCC3R+s4opEIglabcXlcsHhcMBms8FisQRtqeEZPgjWGuh08yerDHaw0Ao7PuyYGQwGr2loaIhXqgkW+PENongGUnzns9ssrMPmT5dqIVar1a+9UqCWS4HmsTO+PalUKsTFxfHfAzZI4XmbXfoGoc4WLpcLzc3NqKurQ319PRoaGrwmq9UK4NTgaVZWFmbPns0ndnv9+vU4fPhwwPWPNXzS3d2NxMREftuzkolSqcS8efNwwQUXYNWqVSgpKZnyg9uETBar1Ypjx47xEMq+fftQV1cHmUyGkpISLF26lIdQJiuI1draihdffBEvvPACLBYLAODIkSMoKiqalOcbDbvdjvb2drS1tfkFS1jlEva6JhKJEBsbC6VSyUO1LNxmMBjQ1dXlF6QNDw/3arGRnJwMjUYDkUgEm83GA7h6vR7t7e1obW1Fd3c3D5X4tsUBToVU1Wo1b6mk1WqRnJyMzMxMaLVaZGRknPEgESGePMPEgVrWjKXyHasGSG0aCSGEEDJDUOiEEEIIIYQQQibDeIMrBoMBw8PDGBgYCLrusLAwyGQyyGQyhIWFQSwWQxAEHl5xOp2w2+1BgythYWFQKpU8sKFUKnkwg833DHGw+1mIg92ejDYdJpPJK4xiMBh4IMVzHpvYfZ7zTSZTwHXL5XK+T56BFN/Qimc7pKioKF7qPzY2FlFRUVO6ckgo2wF5TjOtJVB/fz/UajUfyNbpdGhtbUVFRQWvRhIZGRn0d49hbXeChU9aWlqwY8cOvPnmm/jmm2/gcDig0WiwfPlyLFu2DEuXLkV2dvak7SchM0F7ezv27NmDPXv2YO/evairq4NUKsW5556L1atX4/LLL0dBQcH3fp5vvvkGTz/9NN59913+Hszs3LkTl156KQCgrKwMubm5E/qe6Vm16eTJk2hqakJdXR06OjrQ29uL3t5eHugQi8WQSCQQi8Vwu91+ARKRSOTXbkOtVnu13IiOjoZYLIbD4YDZbEZFRQUaGhrQ1taG1tZW9Pf3e7X1YIFahgVKkpOTkZ6ejoKCAqSlpSE1NRWpqalIS0uj6kxk0tlsttNW8RsaGkJ/fz/6+vrQ19fHq44MDw/7rS8iIsKv4shIt9lE4SlCCCGEzEAUOiGEEEIIIYSQqcpisfi1/wnULmikeX19fRgYGAjY7odhIRZ29qRn9RWn0xmwegZwqnILC2WwahoswMHmxcTEICoqCpGRkYiKikJMTAwiIyMRGRnJl4mMjJzwgMJY2iwFuq+vr2/EY+YbxghUXeZ08xISEiCTySZ0v8fL7Xajv7/fa+BlLJeBfkciIiJ4xZSxXqpUqhAcheAMBgPfJqlUCqfTieXLl+Ouu+5CSUkJqqursWTJEoz2KxYWXPrZz36GSy+9FPv378f777+PsrIyqFQq/OAHP8DKlSuxZMkSZGVlTdp+EXI2YCGUXbt2YefOneju7sbs2bNxxRVXYM2aNVi8ePGo27K43W7s3LkTjz32GA4dOuQXrgBOhTxeeeUVGAwG/OEPf0BPTw8qKiqQl5d32vXb7XY0NTWhpqYGVVVVqK+vR2trK/R6PR8At1gsp32tiYyM5KERjUYDnU7nV1WBVSoJDw+HXq9HW1sbqqqqUFtbi8bGRnR0dPB2OTabLehzsfe0pKQkpKSkICcnB7NmzfIKlSQkJIzq+BIyEqvVGjQ0wj6PBJrP5rFKRJ5EIpHf54+RAiOe02SErwkhhBBCpikKnRBCCCGEEELI2cBisWB4eBhGoxEDAwMwGo0wGo0YHh7mlULYbaPRiMHBQX6dVRAZHByEyWQKWkEFAK++4tkOxO128wBLMGKxmAdT2CX74p+FVDwDLJGRkYiNjeXXAwVaJuKYjTXkE2heT0/PiPs+EQEWtVod0gosI1VYGSnwMzAwgK6uLq8WC8x4q6zEx8dDLpd/r/158cUX0djYiNtuuw15eXlobm7GrFmzvJaRSCRwOp1ITU3Fhg0b8Kc//WnU6w8LC/OqLJOQkICrr74aV1xxBZYsWTJlwkiEzDRutxvffPMNduzYgR07dqCqqgrx8fFYt24dbr31Vpx//vkBH2cwGPD3v/8dTz75JLq6ukZ8DrFYDLFY7PW6/89//hNqtRqNjY1oaWnByZMn0d7ejr6+PgwNDcFkMgVtrScWiyGVSqFQKBAfH4/ExERoNBqkpqZi1qxZSElJ8QqUaLVaiEQiGAwGtLe3o6WlBSdOnOAtdjo7O9HT04OhoSEMDw+PGCxl78M6nQ5paWnIzs5GdnY2dDodkpOTkZycPKOqWpHJN96KbOzzRCCj+bwQrPVkYmLiqENnhBBCCCEkKAqdEEIIIYQQQggZG5vNBqPRyFvaeIZVWKDFbDbzwIrZbIbZbPYKsrBBNqvVCrPZPOLzsRZCrBILa2MwUvgFOFVpIyIiAgqFwqtNkFKpREJCwmkDLOzxMTExCA8P/17l0D1DPcPDw16tlDyDPmweW5YdM8/lglEqlXyfWBuk0QZ2WMWZyMhI3mboTA7CjHcQKlhFmtGEdgJNcrkcGRkZePDBB/HHP/4RAFBaWorVq1fjwQcfDLr9viESTyKRCBKJhP++yuVy2Gw2xMfHY82aNbj99ttx3nnnTcBRJISMVX19Pd577z1s3boV5eXlKCgowMaNG3HDDTcgISEB9fX1eP755/HKK6/A4XAEDMiNh1gsRnh4OH89VqvVSExMRFpaGmbNmoW8vDzMmTMHSUlJfiG67u5unDx5EhUVFby9TltbG7q7u3nLOYvFEnRbZTIZf5/QaDTQarXIzMxEdnY25syZA61Wi5SUlAkJb5KZgQWX2ecSFlhiEwsms+uey3oGlwNVzAkLC+NtDYNNrHJeoHnR0dEhOCKEEEIIIcQHhU4IIYQQQgghhITe8PAwzGYzTCYThoaGYDabeRCBXWfBDd9Ai9FoRF9fH4xGIx8YsVgsI1YXAU6dxS0SiXh7BEEQTvsYqVQKmUwGmUyG6OhoHmZgFVkUCgUSExP5fM+ww0jXVSoVD9WczsDAgFcIZXh4mM8zGo38GLLrJpMJAwMD/DoLuJhMptO2TBhNgCVYyyTPAEtkZOSklaFn++/Z8me0bYFMJlPAdYaFhcHtdkMQhIDtM0ZLrVajsLAQBoMBJ06cgMvlwpVXXomNGzfi4osvHvXPnBAy+Q4ePIgtW7Zg27ZtMJlMiI+PR1dX1/d6DWDWrFmDm266Cbm5uUhLS0NUVBS/z2q1oqWlBY2Njairq0NTUxO6urrQ09ODrq4u9Pf3w2QywWw2w263B9wWiUSCiIgIREVF8WooOp0OKSkpyMzMxPz585GcnAyNRhPSqljkzPINuHp+XvAMiAwNDXkFSdh8tmywz0ZyuZwHemNjY6FUKr0mFg5h1wOFRijcRAghhBAyI1DohBBCCCGEEELIzORyufjAyWgDLSygYTAYYLVaMTg4yNvsmM1mOBwOWCyW0z43C7Mwpzs7XiQSISIiggdalEolr64SHR2NqKgoREVFIS4ujldrUalUPBgSHR3NgzAs7KJUKiGVShETExP0eZ1OJx9wYqEUdszY7cHBwVEFWEwmE4aHh4M+l1gs9gqwKBQKXlGGXVcoFDyEw4IqbH/ZgCoL+7DAi+dxHiuHw+EVQrn77rvx9ddfj3t9DBuklsvlsNvtyMjIwJ133onrr78ecXFx33v9YxUVFRU0YBMREYHs7GzcdNNNuPPOOye9ws3TTz+Ne+65BwCg0+nQ1tY2qc83mQ4ePIg///nP2Lt3L/R6PSIiIpCcnIw5c+ZgxYoVuOSSSzB79uxQb+aYBfsZTebP7o033sC1114L4NRAdrA2GmdCd3c3HnroIbz22mujer0fjaKiIqhUKvT19fGKYBaLJWiIRCQSQSaT8dc91josKSkJaWlpyMjIwJw5c5CdnQ2NRkMtuWYI9rnEbDbz92KLxcIrxHlWjmOfa1gVEd9wydDQUNDnYe+rbFKpVFCpVH7zPYMknp892Hs5/d4RQgghhJD/Q6ETQgghhBBCCCFkrFgQZXBwEHa7HUajEUajEXa7HYODg7BarbBYLDAYDLDZbF7Bl+7ublitVh6CsdlsvNWQ3W6HxWIZ1Vn1rErGaNs9SCQSXqklMjIS4eHhkMvlvOqKQqHgQQ6VSsWDIL7VWYJVcVEqlZBIJDAYDDyEws6cDhZg8Q0BWSwWmM1mHoJhx3AkbFvYdigUCr/QSlRUFN9Gz9CKSqXij4mNjcWtt96KvXv3jup4BuLbSicmJgY33ngjfvvb3yIxMXHc650IR48eRVFREa644gq89957AE5ViSkrK8OvfvUrlJeX46677sJ///d/n5HtWbBgAXp7e08bXDAajSgqKsKcOXPwwQcfnJFtOx2324377rsPzz77LO666y7ceuutyMjIwODgIMrLy7F582Z89tlnAE4FmyQSSYi3eHyC/YxG+7MbjxUrVuCrr74KaejE0zvvvIP7778fdXV1kEgkp62GFYxYLOavv8Cp6ialpaXQarVITk5GamoqsrKykJ2djfT09EmrDEUmhs1mg9ls9guJeFZjCxRyPd1yI2Hvy+y92bPCGGsz4xkQiY6O5pVEPOePFEQlhBBCCCFknD6cnv/1EkIIIYQQQgghIRQREcGDDpPB4XCMOshis9mg1+tht9vR398Pi8XCq5DYbDYYjUY4HA6YTCa4XC5YLBZ+hv1Ek0qlCAsLQ0REBMLCwqBQKPjZ+qyKCQuAsBY9Wq2Wt+CJi4vjARi5XI7IyEjIZDJIpVK4XC5IpVIMDw9DKpXCarViYGCAH5dg1zs6OgLeZzAY4HK5JnT/4+PjYbFYoFKpsHnzZtx0001TuoWOUqnERRddhJdeegmLFi3Cyy+/jD/+8Y9Tqv2GIAhwu92jDledCQ8//DCefvppvPLKK7jtttv4/MTERKxcuRIXX3wxLr/8cnz00Uch3EoyEdatW4d169bhiSeewO9+97txryc3NxdKpRLffvstxGIx3G43du7c6dVmh0wcu93O3wfZeygLiox23vDwMOx2u19rv6GhoRFfjyQSCQ94eIZE2PXMzExERUVBoVAgKiqKh0nYZwq2HAuRsEAoIYQQQgghUxmFTgghhBBCCCGEkClGKpUiNjZ20kItnljVFs9Lz5AGu2SDbaxyCavYwtpEsOVsNhuv2mIwGOBwOGC1Wic84AEAMpkMIpEIcrkcYrEY4eHhkEgkCA8P52EXVgklLi6OD/KxAT2RSASFQsGDMs888wyamprGvB2snU5vby8WLFiAjz/+OOSVTcZizpw5AMCrzCQkJIR4i76jVCrR0NAQ6s3gqqur8Yc//AHFxcVegRNPYWFhePjhhyl0MoM89NBDuOeee3DffffhhRdeQExMDIaHh3lVo9OprKzkratYYGG0j51JWKCShUJ8L1lIcmBg4LTzWEgk0LzRiImJgUwm4+8Jcrnca15SUhJkMtmIQRDfFnEsKEkIIYQQQsjZhkInhBBCCCGEEELIWWyyq7YwTqeTnzluMpn44CO7ZPezS6vViv7+fthsNj7Y2NfXB6fTyc80NxgMcLvdMBqNcLvdMJvNsFqt6O3thSAIsNvto2pVxLBB4bESi8UQBAHPP/88fvnLX45rHaFUU1MDAFCr1VMqcDIVvfLKK3C73Vi/fv2Iy5WWlo7pd49MfXK5HM8++yyuuuoqrF+/HiUlJXjmmWewbds2fPjhh6ivrx+xAoZv8G4yqk2NltvtxtDQEARBwODgIL9k830vXS4Xrw4V6NL39Ztd+r7Oj5ZKpYJMJuMBD7lc7jVPo9HwkIhUKvVaLtg834AJIYQQQgghZOJQ6IQQQgghhBBCCCGTTiKRnJHKLYH4DpL6Do4ajUYMDg7ikUceQWtr65jX73a7cemll+Kaa66ZhK2fPEajEWVlZbjjjjugUCjw0ksv+S3T19eH//qv/8L27dvR2tqKyMhInH/++bj33nuxbNmycS/r67XXXsMNN9zgNe8vf/kLfv7zn/PbFosF4eHheO+993DllVfy+U1NTbjvvvvwySefICwsDKWlpXjuuecwe/Zsr/VVV1fj/vvvx+7du+FwODB37lw88sgjePbZZ7Fr1y4AwMaNG/G3v/0t6HZ+8cUXAID58+ePuD++nE4n3n77bfztb3/D8ePHMTQ0hKysLPzkJz/Br371K96Gabz75nns29raoFarkZubi+uvvx5XX301IiIiAAA9PT14/PHHsWPHDnR0dEClUuHCCy/EI488ggULFoxpn3yNZd2ePwun04lzzjkHTz755Pd6/jPlwgsvxOeff46lS5fiD3/4A15//XUsWrQIL774Ir744gvePud0Kisr0dbWBgAYGBgAAN4yjb1eAeCvUyywB4AHRca6PKtKNRbsdTs2NhYikQgxMTF+lzKZDJmZmRCLxVCpVPwyWMfwkAAAE6hJREFULCwM0dHRfpesBY3vJQVCCCGEEEIImZ4odEIIIYQQQgghhJAZLTo6GgBOG3p54oknRr1OnU6HCy64AG+//TZefvllbNy48Xtt45myfft2iEQir3lz5szB1q1bsW7dOq/5er0eixYtgtlsxt/+9jdcdNFF0Ov1eOCBB7B8+XK88sor+MlPfjLmZQO59tprUVZWhuPHj+Pf//43/1n97Gc/w9q1a7F9+3a+7Nq1ayEIAp+/adMm3HfffdiyZQv279+PNWvW4Nprr8WBAwf4Y+rr61FaWorIyEi89dZbKC0tRXNzMzZt2oTy8nLI5fJRDcZ3dHQAAOLj40+7rKePP/4Y11xzDX7/+9/jzTffhMvlwrZt27Bp0ya0tbXhqaeeGve+sWNvsVjw17/+FUuWLIHZbMZf//pX3HLLLRgcHMSmTZvQ2dmJ0tJSWK1WbNmyBRdddBGam5vxy1/+EqWlpfj8889RWlo6pv1ixrLuQD+LpqYm/OY3v5lSrZRGkp+fj8ceewy/+MUvEBMTA7vdzoNDowmcAMDFF18c9D4W5gDAW7awYAYAHuCQy+W8RVhmZuaolwe+ez30DZF4hkwIIYQQQgghZFQEQgghhBBCCCGEECKkpaUJAAJOIpFImD17tvDggw8KnZ2dgiAIwvXXXy8sXLgwxFs9OmVlZQIA4YorruDzHA6H0NjYKDz66KOCSCQS1q1bJ9jtdn7/zTffLAAQtm3b5rUuq9UqJCcnCxEREYJerx/zsoIgCIWFhYJOpxMEQRAGBgaEVatWCXfeeafgdDr9tv2KK64QAAgWiyXg/Pfff99r/o9+9CMBgNDT08PnrV+/XgAgvPXWW17Ldnd3CwqFQpDL5cEPngetVisAEA4cODCq5Zn3339fWLp0qd/866+/XpBKpcLQ0JDX/LHsGzv2//73v/3W/4Mf/EB45plnBEEQhJtuukkAILz++utey3R2dgpyuVwoLi72mu/5Mzrd/LGsO9jPor29XZDL5aP+WYTa8PCwsHjxYiE2NlaIiIgQRCKRIJPJgr6G+E7vvvuu0NDQIDQ0NAi9vb1Cf3+/YDabQ71bhBBCCCGEEDJWO8VnIthCCCGEEEIIIYQQMtXZbDav22FhYTjvvPOwZcsWDA8Po76+Hk888QSSkpIAAHv37sWGDRtCsakTQiKRICMjA7/73e/w4x//GO+88w6ef/55fv+7774LALjsssu8HieXy7F8+XJYLBZ88sknY17WU01NDc477zyIxWI8++yzCAsLG/N+lJSUeN1OTU0F8F1VEuBUpREAWLVqldeyrA3NaCUnJwMAent7x7SNq1evxu7du/3mFxYWwuFwoKKiIuDjRrNv7Nj/8Ic/9Hv8Rx99hE2bNgE41bpHLBZj9erVXsskJSWhoKAAhw8f5u1exmos6w72s0hOTkZOTs64nj8UoqKicO+992JgYAAtLS3Yvn07brrpJl6hRCIZucD0rFmzkJmZiczMTMTHxyM2Npa3QSKEEEIIIYSQ6YRCJ4QQQgghhBBCCCE41dJCLpfjkksuwfbt22E2m/HNN9/glltuQWRkpN/yfX19UKvVIdjSiXfRRRcBAHbt2gXgVABnaGgI4eHhvEWHp8TERACnWruMZVlPAwMDWLt2LVJSUvDRRx/htddeG9e2q1Qqr9symQzAd21ObDYbhoeHER4ejqioKL/Hj6WNyJIlSwAA5eXlY9rGoaEhPPLII5g3bx5iY2MhEokgEolwzz33AADMZnPAx41m30Y69gxbzu12Q6VS8edn05EjRwAAdXV1Y9qvsa77dD8LjUYz5ucPJba9JpMJl19+OV555RX09vbiyy+/xM9//nPehon93DzZ7fYzuq2EEEIIIYQQMlkodEIIIYQQQgghhBAC4Msvv4TZbMYnn3yCNWvWBBwo9pSRkRG0QsV0IwgCgO/CD3K5HCqVClarFcPDw37Ld3V1AThVyWIsy3qSSCT47LPPsH37dsybNw+33XYbDh48OKH7xfZFqVTCarXCaDT63d/d3T3qdd1+++2QSCR46623Rlzu3nvvhVgsRnV1NQDg8ssvx+OPP47bbrsNtbW1cLvdEAQBzzzzDIDvjv9Yne7Yey4XExMDiUQCh8MBQRACTsuWLRvXNox23af7WfT394/5+UPpxIkTkMvl0Ol0fF5YWBgWL16M559/Hl1dXdi9ezd++tOf8oCKVCoFQKETQgghhBBCyMxBoRNCCCGEEEIIIYQQAFlZWRCLR/9Vyfr16/Gvf/0LQ0NDk7hVZ8aXX34JwLudy5VXXgkA2Llzp9eyNpsNu3btQkREBG+RMpZlGaVSCZ1Oh6ioKOzYsQNRUVFYu3YtOjs7J3bn8F3rGdbahdHr9aitrR31enJycvDoo4/i0KFD2LJlS8Blampq8PLLL2PDhg3Izc2Fy+XCvn37kJSUhF//+tdQq9UQiUQAAIvFMs49+g479h9++KHffUVFRbjrrrsAAOvWrYPT6cS+ffv8lvvjH/+ItLQ0OJ3OcW3DWNYd7GfR29uLmpqacT1/KLhcLvzP//wP1q1bF7SVTlhYGJYuXYoXXngBer0eX3/9Ne68806kp6dT6IQQQgghhBAyY1DohBBCCCGEEEIIIWQc7rjjDojFYvziF78Yd6WKUHI6nTh58iR+97vf4X//93+h0+lw99138/uffPJJZGRkYNOmTfjggw8wPDyM2tpa/PjHP0ZnZyeee+453jpnLMsGMmvWLLz11lvo6enBunXrYLPZJnRff//73yMuLg6bNm3Cp59+CqPRiBMnTuCWW27xq8ByOg899BDuv/9+/OxnP8P999+P2tpa2O12tLe349VXX8WyZcswf/58vPrqqwC+Cx7o9Xo89dRT6O3thcViwe7du/HSSy99731jx/6uu+7Czp07MTw8jLa2NvziF79AZ2cnD508+eSTmD17Nm699VZ89NFHGBoaQn9/P15++WU89thjePrpp4OGJ0azDaNdd6CfRWVlJa6//vqALXemqscffxyVlZV46KGHRrW8SCRCaWkpnnrqKZw8eRKLFy+e5C0khBBCCCGEkDNEIIQQQgghhBBCCCHj8sknnwgymUy44447BJfLFerNCSgyMlIA4DeJRCJBqVQKhYWFwr333it0dXX5Pba3t1fYtGmTkJGRIUilUkGlUgmrVq0Sdu3aNa5lt23b5rcdzzzzjLB//36/+YG2+7rrrgu47IMPPigIguA3/7LLLuPPXVNTI6xdu1aIjo4WFAqFsGjRImHv3r3C0qVLBYVCMebjeuDAAeGGG24QUlNTBalUKiiVSuH8888XnnvuOcFms3kt29PTI9x+++182cTEROHmm28W7r//fr6txcXF494332Ov1WqFa665RqitrfXajr6+PuHuu+8WMjMzBalUKqjVauGSSy4RPv30U77MU089FXAbgs0fy7oD/SwiIiKEkpIS4YMPPhCWL1/O171x48Yx/0zOlOeee04QiUTCSy+9FOpNIYQQQgghhJBQ2ykShGl4Kg4hhBBCCCGEEELIFPH222/juuuuw8qVK7F161bExMSEepPIGOTm5sJisaC5uTnUm0KmOJvNhrvvvht/+ctfsHnzZvzmN78J9SYRQgghhBBCSKh9SO11CCGEEEIIIYQQQr6Hq666Cnv27MGRI0dQUFCA7du3h3qTiA+9Xo+4uDg4HA6v+SdPnkRDQwMuvvjiEG0ZmS7279+Pc845B1u3bsVbb71FgRNCCCGEEEII+T8UOiGEEEIIIYQQQgj5ns4//3xUVFRg9erVuPLKK7Fy5UqUlZWFerOIh4GBAdx+++1obW2F2WzGgQMHcPXVVyM6OhoPP/xwqDePTFGtra24/fbbsXjxYiQkJODIkSNYt25dqDeLEEIIIYQQQqYMCp0QQgghhBBCCCGETICYmBi8/PLL2LNnDwwGAxYuXIirrroKBw8eDPWmnfWSkpLw2WefYXBwEBdddBFiY2OxZs0aZGdn48CBA8jMzAz1JpIppr6+HrfddhuysrKwe/duvPnmm9izZw+ysrJCvWmEEEIIIYQQMqWIBEEQQr0RhBBCCCGEEEIIITOJIAh477338OSTT+LgwYO44IILcOutt2LDhg2IiooK9eYRQgKw2+344IMPsGXLFnz88cfIzMzEvffei5tuuglSqTTUm0cIIYQQQgghU9GHFDohhBBCCCGEEEIImUSff/45/vrXv+Ldd9+FTCbDhg0bcOutt2LRokWh3jRCCIDKykq8+uqreO2119DX14dLLrkEGzduxNq1axEWFhbqzSOEEEIIIYSQqYxCJ4QQQgghhBBCCCFnQn9/P15//XVs2bIFR48eRU5ODtauXYs1a9agtLQUYjF1QSbkTDl69Cjef/99bN++HYcPH0ZmZiZuueUW3HzzzUhJSQn15hFCCCGEEELIdEGhE0IIIYQQQgghhJAz7fDhw3jjjTewfft21NXVQaPRYPXq1VizZg1WrlwJhUIR6k0kZEZxOBzYu3cvduzYgR07dqC5uRk6nQ6XX345NmzYgKVLl0IkEoV6MwkhhBBCCCFkuqHQCSGEEEIIIYQQQkgoVVdXY/v27dixYwe++eYbyOVyXHDBBViyZAmWLl2Kc889FzKZLNSbSci04nK5cPToUezZswd79+7FF198gaGhIcyfPx9r1qzBmjVrsHDhQgqaEEIIIYQQQsj3Q6ETQgghhBBCCCGEkKmiu7sbO3fuxO7du7Fnzx60trZCoVDg/PPPx9KlS3kIRS6Xh3pTCZlSXC4XysrKsHfvXuzZswdffvklhoaGkJCQgIsuugjLli3DZZddhoyMjFBvKiGEEEIIIYTMJBQ6IYQQQgghhBBCCJmqOjo6sG/fPnz22Wf49NNP0dTUBIlEgpycHBQXF/OppKSEgijkrNLR0YHDhw/j8OHD2LdvH/bv3w+TyQS1Wo3zzjsPixcvxooVK1BUVASxWBzqzSWEEEIIIYSQmYpCJ4QQQgghhBBCCCHTRVNTE77++mscOnQIhw4dQllZGUwmEyIiIlBUVISFCxeiuLgYc+fORV5eHiIiIkK9yYR8Lw6HA7W1taioqMDhw4dx6NAhHD58GENDQ5DJZJg/fz4WLlyIkpISnHfeecjPz6eWOYQQQgghhBBy5lDohBBCCCGEEEIIIWS6crlcqKys5CGUgwcPory8HDabDWFhYcjIyMDcuXORn5+PefPmIS8vD3l5eZDJZKHedEK8OJ1ONDQ04MSJE6isrOSXNTU1cDgcCAsLQ35+PhYuXMhDJoWFhfS7TAghhBBCCCGhRaETQgghhBBCCCGEkJnE6XSivr4eJ06cQEVFBZ/q6urgcDggkUgwe/Zs5OTkICsrC1lZWZg9ezaysrKQnp4OiUQS6l0gM5Tb7UZbWxvq6+vR0NDgdVldXQ2bzQaxWIyMjAwUFBSgoKCAh6by8vKohRQhhBBCCCGETD0UOiGEEEIIIYQQQgg5G9jtdtTU1KCyshIVFRVeA/79/f0AAKlUivT0dB5CmT17NtLS0pCSkoLU1FQkJSVBLBaHeE/IVNbd3Y22tja0tbWhubkZTU1NqK+vR319PRobG2Gz2QAASqXS6/csPz8fBQUFyMvLg0KhCPFeEEIIIYQQQggZJQqdEEIIIYQQQgghhJztBgYGeAjFswJFQ0MD9Ho93G43gFOhlOTkZKSmpvIwSkpKCtLS0qDVaqHVaqHRaKgixQzkcDjQ09PjFSppa2tDS0sLWltb+W2r1cofo9FokJGR4RUuYdV1NBrN/2/v/npTxaIwDr9q1YZNBUz406T9/hdzP19jvoRau0ksIAKVaueikakd23OamdTTnN9z45LtAraX5mV5xt0AAAAAAP4nhE4AAAAAAADwvrZtNZ/Pu8kVs9lM8/m8q2ezmay1Rz2+7ytJEkVRpDiOlSSJwjDU9fW14jhWGIaaTqeaTqcKgkCDweBMu/u9rVYrPTw8aLVayVqrNE11d3cna62stUd1mqZHvUEQdIGj1+Gj29vbbjLO5eXlmXYGAAAAAPgihE4AAAAAAADw3zRNo8VioeVyqTRNtVwudX9/L2ttV6dpqsViofV6/a/+yWTSBVCCIDhZu64rY4yMMfJ9X47jyBijyWSiq6srXVxcnGHn57Hf75XnucqyVFVVKstSeZ5rs9moqirlea6iKLpQySFY8rZ+y3EcJUnShYSSJFEcx4qiqKvDMNTNzY2MMWfYOQAAAADgF0PoBAAAAAAAAF+naRpZa38YiHhbl2Wptm3fPe9oNOoCKcYYjcfj7pj0MplDkowxGo1GGg6Hcl1X0stkll6v153LdV0Nh8OT1zn0v7Xb7VQUxcmeU2t5nmu/36uuazVNc/SZoii02+3UNI3qulbbtl2wpKoq1XX97vfQ7/fled6HQZ7X7w+vURQRJAEAAAAAfBahEwAAAAAAAHwP2+1Wm81GWZZ1Uz2KolBRFKqq6mhtu912oY3DZBBJWq/Xenp60uPjo6qq0vPzs7IsO7rOqSkgB1mW6b2f0zzPU7/f/6m1w3SW8Xgsx3HU6/Xk+76kf0Ivh9DMYDDoJrq8nvZyqF3Xled5MsbwlzYAAAAAgK9E6AQAAAAAAAAAAAAAAACf9ufpRy8AAAAAAAAAAAAAAACADxA6AQAAAAAAAAAAAAAAwKcROgEAAAAAAAAAAAAAAMCnXUj649w3AQAAAAAAAAAAAAAAgG/lr78BWoZKlhfvsDEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model= dowhy.CausalModel(\n",
    "        data = dataset,\n",
    "        graph=causal_graph.replace(\"\\n\", \" \"),\n",
    "        treatment='different_room_assigned',\n",
    "        outcome='is_canceled')\n",
    "model.view_model()\n",
    "from IPython.display import Image, display\n",
    "display(Image(filename=\"causal_model.png\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step-2. Identify the Causal Effect\n",
    "We say that Treatment causes Outcome if changing Treatment leads to a change in Outcome keeping everything else constant.\n",
    "Thus in this step, by using properties of the causal graph, we identify the causal effect to be estimated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimand type: nonparametric-ate\n",
      "\n",
      "### Estimand : 1\n",
      "Estimand name: backdoor\n",
      "Estimand expression:\n",
      "            d                                                                 \n",
      "──────────────────────────(Expectation(is_canceled|country,booking_changes,mar\n",
      "d[different_room_assigned]                                                    \n",
      "\n",
      "                                                                              \n",
      "ket_segment,required_car_parking_spaces,total_of_special_requests,guests,days_\n",
      "                                                                              \n",
      "\n",
      "                                                                              \n",
      "in_waiting_list,lead_time,total_stay,meal,is_repeated_guest,previous_bookings_\n",
      "                                                                              \n",
      "\n",
      "                    \n",
      "not_canceled,hotel))\n",
      "                    \n",
      "Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,country,booking_changes,market_segment,required_car_parking_spaces,total_of_special_requests,guests,days_in_waiting_list,lead_time,total_stay,meal,is_repeated_guest,previous_bookings_not_canceled,hotel,U) = P(is_canceled|different_room_assigned,country,booking_changes,market_segment,required_car_parking_spaces,total_of_special_requests,guests,days_in_waiting_list,lead_time,total_stay,meal,is_repeated_guest,previous_bookings_not_canceled,hotel)\n",
      "\n",
      "### Estimand : 2\n",
      "Estimand name: iv\n",
      "No such variable found!\n",
      "\n",
      "### Estimand : 3\n",
      "Estimand name: frontdoor\n",
      "No such variable found!\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import statsmodels\n",
    "model= dowhy.CausalModel(\n",
    "        data = dataset,\n",
    "        graph=causal_graph.replace(\"\\n\", \" \"),\n",
    "        treatment=\"different_room_assigned\",\n",
    "        outcome='is_canceled')\n",
    "#Identify the causal effect\n",
    "identified_estimand = model.identify_effect(proceed_when_unidentifiable=True)\n",
    "print(identified_estimand)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step-3. Estimate the identified estimand"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*** Causal Estimate ***\n",
      "\n",
      "## Identified estimand\n",
      "Estimand type: nonparametric-ate\n",
      "\n",
      "### Estimand : 1\n",
      "Estimand name: backdoor\n",
      "Estimand expression:\n",
      "            d                                                                 \n",
      "──────────────────────────(Expectation(is_canceled|country,booking_changes,mar\n",
      "d[different_room_assigned]                                                    \n",
      "\n",
      "                                                                              \n",
      "ket_segment,required_car_parking_spaces,total_of_special_requests,guests,days_\n",
      "                                                                              \n",
      "\n",
      "                                                                              \n",
      "in_waiting_list,lead_time,total_stay,meal,is_repeated_guest,previous_bookings_\n",
      "                                                                              \n",
      "\n",
      "                    \n",
      "not_canceled,hotel))\n",
      "                    \n",
      "Estimand assumption 1, Unconfoundedness: If U→{different_room_assigned} and U→is_canceled then P(is_canceled|different_room_assigned,country,booking_changes,market_segment,required_car_parking_spaces,total_of_special_requests,guests,days_in_waiting_list,lead_time,total_stay,meal,is_repeated_guest,previous_bookings_not_canceled,hotel,U) = P(is_canceled|different_room_assigned,country,booking_changes,market_segment,required_car_parking_spaces,total_of_special_requests,guests,days_in_waiting_list,lead_time,total_stay,meal,is_repeated_guest,previous_bookings_not_canceled,hotel)\n",
      "\n",
      "## Realized estimand\n",
      "b: is_canceled~different_room_assigned+country+booking_changes+market_segment+required_car_parking_spaces+total_of_special_requests+guests+days_in_waiting_list+lead_time+total_stay+meal+is_repeated_guest+previous_bookings_not_canceled+hotel\n",
      "Target units: ate\n",
      "\n",
      "## Estimate\n",
      "Mean value: -0.25036891801311123\n",
      "\n"
     ]
    }
   ],
   "source": [
    "estimate = model.estimate_effect(identified_estimand, \n",
    "                                 method_name=\"backdoor.propensity_score_stratification\",target_units=\"ate\")\n",
    "# ATE = Average Treatment Effect\n",
    "# ATT = Average Treatment Effect on Treated (i.e. those who were assigned a different room)\n",
    "# ATC = Average Treatment Effect on Control (i.e. those who were not assigned a different room)\n",
    "print(estimate)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The result is surprising. It means that having a different room assigned _decreases_ the chances of a cancellation. There's more to unpack here: is this the correct causal effect? Could it be that different rooms are assigned only when the booked room is unavailable, and therefore assigning a different room has a positive effect on the customer (as opposed to not assigning a room)?\n",
    "\n",
    "There could also be other mechanisms at play. Perhaps assigning a different room only happens at check-in, and the chances of a cancellation once the customer is already at the hotel are low? In that case, the graph is missing a critical variable on _when_ these events happen. Does `different_room_assigned` happen mostly on the day of the booking? Knowing that variable can help improve the graph and our analysis. \n",
    "\n",
    "While the associational analysis earlier indicated a positive correlation between `is_canceled` and `different_room_assigned`, estimating the causal effect using DoWhy presents a different picture. It implies that a decision/policy to reduce the number of `different_room_assigned` at hotels may be counter-productive.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step-4. Refute results\n",
    "\n",
    "Note that the causal part does not come from data. It comes from your *assumptions* that lead to *identification*. Data is simply used for statistical *estimation*. Thus it becomes critical to verify whether our assumptions were even correct in the first step or not!\n",
    "\n",
    "What happens when another common cause exists?\n",
    "What happens when the treatment itself was placebo?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Method-1\n",
    "**Radom Common Cause:-** *Adds randomly drawn covariates to data and re-runs the analysis to see if the causal estimate changes or not. If our assumption was originally correct then the causal estimate shouldn't change by much.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refute: Add a Random Common Cause\n",
      "Estimated effect:-0.25036891801311123\n",
      "New effect:-0.24972147296158662\n",
      "\n"
     ]
    }
   ],
   "source": [
    "refute1_results=model.refute_estimate(identified_estimand, estimate,\n",
    "        method_name=\"random_common_cause\")\n",
    "print(refute1_results)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Method-2\n",
    "**Placebo Treatment Refuter:-** *Randomly assigns any covariate as a treatment and re-runs the analysis. If our assumptions were correct then this newly found out estimate should go to 0.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refute: Use a Placebo Treatment\n",
      "Estimated effect:-0.25036891801311123\n",
      "New effect:-0.00016813231897326396\n",
      "p value:0.48\n",
      "\n"
     ]
    }
   ],
   "source": [
    "refute2_results=model.refute_estimate(identified_estimand, estimate,\n",
    "        method_name=\"placebo_treatment_refuter\")\n",
    "print(refute2_results)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Method-3\n",
    "**Data Subset Refuter:-** *Creates subsets of the data(similar to cross-validation) and checks whether the causal estimates vary across subsets. If our assumptions were correct there shouldn't be much variation.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refute: Use a subset of data\n",
      "Estimated effect:-0.25036891801311123\n",
      "New effect:-0.2491442730582066\n",
      "p value:0.28\n",
      "\n"
     ]
    }
   ],
   "source": [
    "refute3_results=model.refute_estimate(identified_estimand, estimate,\n",
    "        method_name=\"data_subset_refuter\")\n",
    "print(refute3_results)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that our estimate passes all three refutation tests. This does not prove its correctness, but it increases confidence in the estimate. "
   ]
  }
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